{
  "all_tier1_controls_passed": true,
  "evidence_tier": "tier_1_analytic_variational_numerics_not_outward_validated",
  "exact_query_engine_children": {
    "minimum_three_output_launch_A_clock_only": {
      "declared_nuisance_dimension": 1,
      "declared_nuisance_response_exact": [
        [
          "-205821/200000"
        ],
        [
          "525777/500000"
        ],
        [
          "-123019/50000"
        ]
      ],
      "declared_observation_exact": [
        [
          "-104679/1000000",
          "3127/100000"
        ],
        [
          "84503/1000000",
          "-454351/1000000"
        ],
        [
          "-63769/250000",
          "234819/1000000"
        ]
      ],
      "declared_output_metric_exact": [
        [
          "2/7",
          "0/1",
          "0/1"
        ],
        [
          "0/1",
          "2/7",
          "0/1"
        ],
        [
          "0/1",
          "0/1",
          "2/7"
        ]
      ],
      "declared_query_exact": [
        [
          "1/1",
          "0/1"
        ],
        [
          "0/1",
          "1/1"
        ]
      ],
      "declared_query_metric_exact": [
        [
          "1/1",
          "0/1"
        ],
        [
          "0/1",
          "1/1"
        ]
      ],
      "declared_source_metric_exact": [
        [
          "1/1",
          "0/1"
        ],
        [
          "0/1",
          "1/1"
        ]
      ],
      "effective_response_rank": 2,
      "factorization_and_minimax": {
        "amplification_lower_witness_exact": [
          "-100000000/1",
          "6338975/1"
        ],
        "decoder_annihilates_nuisance_exact": true,
        "decoder_exact": [
          [
            "870951254654000000/5790284233061149",
            "-164717324395000000/5790284233061149",
            "-434692792275000000/5790284233061149"
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          [
            "-60316696964000000/5790284233061149",
            "-4949868960000000/5790284233061149",
            "23113161351000000/5790284233061149"
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        ],
        "decoder_times_effective_response_equals_query_exact": true,
        "decoder_times_raw_observation_equals_query_exact": true,
        "descriptive_amplification_lower": 319.6156831382356,
        "descriptive_amplification_upper": 319.61568313823574,
        "factorization_exists": true,
        "interpretation": "For data-noise radius epsilon, the exact minimax query error is kappa*epsilon; the true kappa squared lies in the certified rational interval.",
        "kind": "identifiable-query-factorization",
        "minimax_amplification_exactly_zero": false,
        "minimax_amplification_squared_lower_exact": "231036845209387391926902536750000000000/2261648364358617795867283370931523",
        "minimax_amplification_squared_upper_exact": "271353552957363266708642812779285240324977831260063128781397733607/2656313622412568391830785344028483501162026017082516529217536",
        "quotient_injection_exact": [
          [
            "1/1",
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          [
            "0/1",
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        ],
        "quotient_row_coordinates_exact": [
          [
            "1/1",
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          [
            "0/1",
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          ]
        ],
        "quotient_source_metric_exact": [
          [
            "1/1",
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          [
            "0/1",
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          ]
        ],
        "reduced_data_gram_exact": [
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            "4196823363005538444097/28764024311193500000000000",
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        ],
        "reduced_effective_response_exact": [
          [
            "-6063089339742327/4109146330170500000",
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          [
            "-6887514591536287/328731706413640000",
            "-518043114783954479/1643658532068200000"
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            "-8565024856920357/1027286582542625000",
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        "reduced_query_exact": [
          [
            "1/1",
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          [
            "0/1",
            "1/1"
          ]
        ],
        "reduced_query_form_exact": [
          [
            "1/1",
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          ],
          [
            "0/1",
            "1/1"
          ]
        ],
        "upper_shift_positive_by_exact_ldl": true
      },
      "identifiability": {
        "kernel_condition_exact": true,
        "kernel_counterexample_exact": null,
        "query_identifiable_exact": true
      },
      "independent_exact_verification": {
        "amplification_squared_lower_exact": "231036845209387391926902536750000000000/2261648364358617795867283370931523",
        "amplification_squared_upper_exact": "271353552957363266708642812779285240324977831260063128781397733607/2656313622412568391830785344028483501162026017082516529217536",
        "method": "exact rational reconstruction of the nuisance quotient, kernel condition, query factorization, and minimax amplification bracket",
        "passed": true,
        "query_identifiable": true
      },
      "model_kind": "shared_nuisance_protocol_mixture",
      "nuisance_elimination": {
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          [
            "-6063089339742327/4109146330170500000",
            "-17247403101658309/164365853206820000"
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          [
            "-6887514591536287/328731706413640000",
            "-518043114783954479/1643658532068200000"
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            "-8565024856920357/1027286582542625000",
            "-746340853514915841/8218292660341000000"
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        ],
        "metric_orthogonal_projector_exact": [
          [
            "7159235559316/8218292660341",
            "1082159479170/8218292660341",
            "-2531989359900/8218292660341"
          ],
          [
            "1082159479170/8218292660341",
            "7112526845425/8218292660341",
            "2587222430520/8218292660341"
          ],
          [
            "-2531989359900/8218292660341",
            "2587222430520/8218292660341",
            "2164822915941/8218292660341"
          ]
        ],
        "nuisance_basis_exact": [
          [
            "1/1"
          ],
          [
            "-50074/49005"
          ],
          [
            "492076/205821"
          ]
        ],
        "profiled_information_exact": [
          [
            "4196823363005538444097/28764024311193500000000000",
            "61764698372152652754781/28764024311193500000000000"
          ],
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            "61764698372152652754781/28764024311193500000000000",
            "487322854297530359225683/14382012155596750000000000"
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        ],
        "projector_annihilates_nuisance_exact": true,
        "projector_idempotent_exact": true,
        "projector_is_output_metric_self_adjoint_exact": true
      },
      "nuisance_rank": 1,
      "output_dimension": 3,
      "proof_boundary": "This certificate proves a finite-dimensional real rational linear theorem for the declared metrics, response, query, and one declared unrestricted nuisance shared across the active protocols. It does not prove that an external physical or continuum model is enclosed by these data.",
      "protocol_mixture": {
        "active_protocol_indices": [
          0
        ],
        "composition_rule": "stack active responses and nuisance maps; scale each output metric by budget_share/cost; profile the shared nuisance only after assembly",
        "inactive_zero_share_protocols_omitted_from_assembly": true,
        "nuisance_semantics": "one shared nuisance vector across every active protocol",
        "protocols": [
          {
            "budget_share_exact": "1/1",
            "cost_exact": "7/2",
            "name": "launch-A grouped trajectory",
            "nuisance_response_exact": [
              [
                "-205821/200000"
              ],
              [
                "525777/500000"
              ],
              [
                "-123019/50000"
              ]
            ],
            "output_metric_exact": [
              [
                "1/1",
                "0/1",
                "0/1"
              ],
              [
                "0/1",
                "1/1",
                "0/1"
              ],
              [
                "0/1",
                "0/1",
                "1/1"
              ]
            ],
            "physical_weight_exact": "2/7",
            "response_exact": [
              [
                "-104679/1000000",
                "3127/100000"
              ],
              [
                "84503/1000000",
                "-454351/1000000"
              ],
              [
                "-63769/250000",
                "234819/1000000"
              ]
            ]
          },
          {
            "budget_share_exact": "0/1",
            "cost_exact": "9/4",
            "name": "launch-B grouped trajectory",
            "nuisance_response_exact": [
              [
                "194941/500000"
              ],
              [
                "290887/500000"
              ]
            ],
            "output_metric_exact": [
              [
                "1/1",
                "0/1"
              ],
              [
                "0/1",
                "1/1"
              ]
            ],
            "physical_weight_exact": "0/1",
            "response_exact": [
              [
                "7343/500000",
                "-15557/1000000"
              ],
              [
                "93811/200000",
                "207/50000"
              ]
            ]
          },
          {
            "budget_share_exact": "0/1",
            "cost_exact": "5/2",
            "name": "launch-C grouped trajectory",
            "nuisance_response_exact": [
              [
                "290149/500000"
              ],
              [
                "-1346659/500000"
              ]
            ],
            "output_metric_exact": [
              [
                "1/1",
                "0/1"
              ],
              [
                "0/1",
                "1/1"
              ]
            ],
            "physical_weight_exact": "0/1",
            "response_exact": [
              [
                "81009/1000000",
                "-4957/20000"
              ],
              [
                "-131393/500000",
                "471277/1000000"
              ]
            ]
          }
        ],
        "schema_version": "oig-query-shared-nuisance-mixture-v1",
        "unprofiled_information_sum_exact": [
          [
            "41581107913/1750000000000",
            "-101564026127/3500000000000"
          ],
          [
            "-101564026127/3500000000000",
            "18753757633/250000000000"
          ]
        ],
        "warning": "With a shared nuisance, profiling generally does not commute with summing individually profiled protocol information forms."
      },
      "query_dimension": 2,
      "report_valid": true,
      "schema_version": "oig-query-protocol-certificate-v1",
      "source_dimension": 2,
      "status": "exact finite-linear query certificate"
    },
    "secondary_selected_clock_and_common_gain": {
      "declared_nuisance_dimension": 2,
      "declared_nuisance_response_exact": [
        [
          "-205821/200000",
          "40609/125000"
        ],
        [
          "525777/500000",
          "96047/1000000"
        ],
        [
          "-123019/50000",
          "115831/200000"
        ],
        [
          "194941/500000",
          "-420191/1000000"
        ],
        [
          "290887/500000",
          "1117927/1000000"
        ],
        [
          "290149/500000",
          "666057/1000000"
        ],
        [
          "-1346659/500000",
          "-86929/1000000"
        ]
      ],
      "declared_observation_exact": [
        [
          "-104679/1000000",
          "3127/100000"
        ],
        [
          "84503/1000000",
          "-454351/1000000"
        ],
        [
          "-63769/250000",
          "234819/1000000"
        ],
        [
          "7343/500000",
          "-15557/1000000"
        ],
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          "93811/200000",
          "207/50000"
        ],
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          "81009/1000000",
          "-4957/20000"
        ],
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          "-131393/500000",
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      ],
      "declared_output_metric_exact": [
        [
          "5/42",
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          "0/1",
          "0/1",
          "0/1",
          "0/1",
          "0/1"
        ],
        [
          "0/1",
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        ],
        [
          "0/1",
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          "0/1"
        ],
        [
          "0/1",
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          "0/1",
          "1/9",
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          "0/1",
          "0/1"
        ],
        [
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        ],
        [
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      ],
      "declared_query_exact": [
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      ],
      "declared_query_metric_exact": [
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      ],
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      ],
      "effective_response_rank": 2,
      "factorization_and_minimax": {
        "amplification_lower_witness_exact": [
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        ],
        "decoder_annihilates_nuisance_exact": true,
        "decoder_exact": [
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        "decoder_times_effective_response_equals_query_exact": true,
        "decoder_times_raw_observation_equals_query_exact": true,
        "descriptive_amplification_lower": 21.397964751609404,
        "descriptive_amplification_upper": 21.397964751609404,
        "factorization_exists": true,
        "interpretation": "For data-noise radius epsilon, the exact minimax query error is kappa*epsilon; the true kappa squared lies in the certified rational interval.",
        "kind": "identifiable-query-factorization",
        "minimax_amplification_exactly_zero": false,
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        "minimax_amplification_squared_upper_exact": "50852135057197170529832416871813416824710960143606076357899293161818229257884513419/111061684488730216571204782315756491366704593257700653389774929875945437576298496",
        "quotient_injection_exact": [
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            "1/1",
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          [
            "0/1",
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        ],
        "quotient_row_coordinates_exact": [
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            "1/1",
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            "0/1",
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        "quotient_source_metric_exact": [
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            "1/1",
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        ],
        "reduced_data_gram_exact": [
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        "reduced_effective_response_exact": [
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        "reduced_query_exact": [
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        "reduced_query_form_exact": [
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        ],
        "upper_shift_positive_by_exact_ldl": true
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      "identifiability": {
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        "kernel_counterexample_exact": null,
        "query_identifiable_exact": true
      },
      "independent_exact_verification": {
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        "method": "exact rational reconstruction of the nuisance quotient, kernel condition, query factorization, and minimax amplification bracket",
        "passed": true,
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        ],
        "metric_orthogonal_projector_exact": [
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        "profiled_information_exact": [
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        "projector_annihilates_nuisance_exact": true,
        "projector_idempotent_exact": true,
        "projector_is_output_metric_self_adjoint_exact": true
      },
      "nuisance_rank": 2,
      "output_dimension": 7,
      "proof_boundary": "This certificate proves a finite-dimensional real rational linear theorem for the declared metrics, response, query, and one declared unrestricted nuisance shared across the active protocols. It does not prove that an external physical or continuum model is enclosed by these data.",
      "protocol_mixture": {
        "active_protocol_indices": [
          0,
          1,
          2
        ],
        "composition_rule": "stack active responses and nuisance maps; scale each output metric by budget_share/cost; profile the shared nuisance only after assembly",
        "inactive_zero_share_protocols_omitted_from_assembly": true,
        "nuisance_semantics": "one shared nuisance vector across every active protocol",
        "protocols": [
          {
            "budget_share_exact": "5/12",
            "cost_exact": "7/2",
            "name": "launch-A grouped trajectory",
            "nuisance_response_exact": [
              [
                "-205821/200000",
                "40609/125000"
              ],
              [
                "525777/500000",
                "96047/1000000"
              ],
              [
                "-123019/50000",
                "115831/200000"
              ]
            ],
            "output_metric_exact": [
              [
                "1/1",
                "0/1",
                "0/1"
              ],
              [
                "0/1",
                "1/1",
                "0/1"
              ],
              [
                "0/1",
                "0/1",
                "1/1"
              ]
            ],
            "physical_weight_exact": "5/42",
            "response_exact": [
              [
                "-104679/1000000",
                "3127/100000"
              ],
              [
                "84503/1000000",
                "-454351/1000000"
              ],
              [
                "-63769/250000",
                "234819/1000000"
              ]
            ]
          },
          {
            "budget_share_exact": "1/4",
            "cost_exact": "9/4",
            "name": "launch-B grouped trajectory",
            "nuisance_response_exact": [
              [
                "194941/500000",
                "-420191/1000000"
              ],
              [
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                "1117927/1000000"
              ]
            ],
            "output_metric_exact": [
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                "0/1",
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            ],
            "physical_weight_exact": "1/9",
            "response_exact": [
              [
                "7343/500000",
                "-15557/1000000"
              ],
              [
                "93811/200000",
                "207/50000"
              ]
            ]
          },
          {
            "budget_share_exact": "1/3",
            "cost_exact": "5/2",
            "name": "launch-C grouped trajectory",
            "nuisance_response_exact": [
              [
                "290149/500000",
                "666057/1000000"
              ],
              [
                "-1346659/500000",
                "-86929/1000000"
              ]
            ],
            "output_metric_exact": [
              [
                "1/1",
                "0/1"
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              [
                "0/1",
                "1/1"
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            ],
            "physical_weight_exact": "2/15",
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                "81009/1000000",
                "-4957/20000"
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                "-131393/500000",
                "471277/1000000"
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            ]
          }
        ],
        "schema_version": "oig-query-shared-nuisance-mixture-v1",
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      },
      "query_dimension": 2,
      "report_valid": true,
      "schema_version": "oig-query-protocol-certificate-v1",
      "source_dimension": 2,
      "status": "exact finite-linear query certificate"
    },
    "selected_cost_weighted_clock_only": {
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          "-205821/200000"
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        [
          "-123019/50000"
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          "194941/500000"
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      "declared_observation_exact": [
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          "207/50000"
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      ],
      "declared_output_metric_exact": [
        [
          "4/21",
          "0/1",
          "0/1",
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      "declared_query_exact": [
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      "declared_query_metric_exact": [
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      "effective_response_rank": 2,
      "factorization_and_minimax": {
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        ],
        "decoder_annihilates_nuisance_exact": true,
        "decoder_exact": [
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        "decoder_times_raw_observation_equals_query_exact": true,
        "descriptive_amplification_lower": 7.4479906096174915,
        "descriptive_amplification_upper": 7.447990609617492,
        "factorization_exists": true,
        "interpretation": "For data-noise radius epsilon, the exact minimax query error is kappa*epsilon; the true kappa squared lies in the certified rational interval.",
        "kind": "identifiable-query-factorization",
        "minimax_amplification_exactly_zero": false,
        "minimax_amplification_squared_lower_exact": "1720179956168010777290336510380256250000000/31009562716758388491553844565288974594953",
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          ]
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        "quotient_source_metric_exact": [
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        "reduced_data_gram_exact": [
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        ],
        "reduced_effective_response_exact": [
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            "384625758356519571/19349479167517250000",
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          ],
          [
            "-3310380918407629691/77397916670069000000",
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        "reduced_query_exact": [
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        ],
        "reduced_query_form_exact": [
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        ],
        "upper_shift_positive_by_exact_ldl": true
      },
      "identifiability": {
        "kernel_condition_exact": true,
        "kernel_counterexample_exact": null,
        "query_identifiable_exact": true
      },
      "independent_exact_verification": {
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        "amplification_squared_upper_exact": "764390464694106501214925417116232161175466503411161923039119419429/13779612981787854684459904996426557359436244703963504643644850176",
        "method": "exact rational reconstruction of the nuisance quotient, kernel condition, query factorization, and minimax amplification bracket",
        "passed": true,
        "query_identifiable": true
      },
      "model_kind": "shared_nuisance_protocol_mixture",
      "nuisance_elimination": {
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            "384625758356519571/19349479167517250000",
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        ],
        "metric_orthogonal_projector_exact": [
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            "-22787904239100/77397916670069",
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          [
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          [
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            "23285001874680/77397916670069",
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          [
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            "-1587762474676/77397916670069"
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        ],
        "nuisance_basis_exact": [
          [
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          [
            "-50074/49005"
          ],
          [
            "492076/205821"
          ],
          [
            "-389882/1029105"
          ],
          [
            "-581774/1029105"
          ]
        ],
        "profiled_information_exact": [
          [
            "2237255405774073242247553/91426289066519006250000000",
            "4424900309417641148376517/731410312532152050000000000"
          ],
          [
            "4424900309417641148376517/731410312532152050000000000",
            "86697640727319906889797373/3657051562660760250000000000"
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        ],
        "projector_annihilates_nuisance_exact": true,
        "projector_idempotent_exact": true,
        "projector_is_output_metric_self_adjoint_exact": true
      },
      "nuisance_rank": 1,
      "output_dimension": 5,
      "proof_boundary": "This certificate proves a finite-dimensional real rational linear theorem for the declared metrics, response, query, and one declared unrestricted nuisance shared across the active protocols. It does not prove that an external physical or continuum model is enclosed by these data.",
      "protocol_mixture": {
        "active_protocol_indices": [
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          1
        ],
        "composition_rule": "stack active responses and nuisance maps; scale each output metric by budget_share/cost; profile the shared nuisance only after assembly",
        "inactive_zero_share_protocols_omitted_from_assembly": true,
        "nuisance_semantics": "one shared nuisance vector across every active protocol",
        "protocols": [
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            "cost_exact": "7/2",
            "name": "launch-A grouped trajectory",
            "nuisance_response_exact": [
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                "-205821/200000"
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              [
                "525777/500000"
              ],
              [
                "-123019/50000"
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            ],
            "output_metric_exact": [
              [
                "1/1",
                "0/1",
                "0/1"
              ],
              [
                "0/1",
                "1/1",
                "0/1"
              ],
              [
                "0/1",
                "0/1",
                "1/1"
              ]
            ],
            "physical_weight_exact": "4/21",
            "response_exact": [
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                "-104679/1000000",
                "3127/100000"
              ],
              [
                "84503/1000000",
                "-454351/1000000"
              ],
              [
                "-63769/250000",
                "234819/1000000"
              ]
            ]
          },
          {
            "budget_share_exact": "1/3",
            "cost_exact": "9/4",
            "name": "launch-B grouped trajectory",
            "nuisance_response_exact": [
              [
                "194941/500000"
              ],
              [
                "290887/500000"
              ]
            ],
            "output_metric_exact": [
              [
                "1/1",
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              [
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            ],
            "physical_weight_exact": "4/27",
            "response_exact": [
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                "-15557/1000000"
              ],
              [
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                "207/50000"
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            ]
          },
          {
            "budget_share_exact": "0/1",
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            "name": "launch-C grouped trajectory",
            "nuisance_response_exact": [
              [
                "290149/500000"
              ],
              [
                "-1346659/500000"
              ]
            ],
            "output_metric_exact": [
              [
                "1/1",
                "0/1"
              ],
              [
                "0/1",
                "1/1"
              ]
            ],
            "physical_weight_exact": "0/1",
            "response_exact": [
              [
                "81009/1000000",
                "-4957/20000"
              ],
              [
                "-131393/500000",
                "471277/1000000"
              ]
            ]
          }
        ],
        "schema_version": "oig-query-shared-nuisance-mixture-v1",
        "unprofiled_information_sum_exact": [
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            "2290057843781/47250000000000",
            "-902082311957/47250000000000"
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          [
            "-902082311957/47250000000000",
            "337826797243/6750000000000"
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        ],
        "warning": "With a shared nuisance, profiling generally does not commute with summing individually profiled protocol information forms."
      },
      "query_dimension": 2,
      "report_valid": true,
      "schema_version": "oig-query-protocol-certificate-v1",
      "source_dimension": 2,
      "status": "exact finite-linear query certificate"
    }
  },
  "experimental_semantics": {
    "grouping": "Each group fixes one exact launch and collects every listed sensor/time readout as one inseparable batch. A budget share p_g and conservative additive group cost c_g give repetition weight p_g/c_g on the entire within-group output metric. One clock-dilation parameter is global across all repetitions, observations, and active group types and is profiled only after stacking.",
    "local_linearization": "all state, tangent, parameter, clock, and gain rows are evaluated locally at (u,v,epsilon,kappa)=(0,0,0,0), with kappa present only in the secondary common-gain model",
    "output_noise_metric": "the within-group metric is diagonal with each legacy scalar noise precision on its diagonal; this declares independent scalar readout noise before the common batch repetition factor p_g/c_g",
    "preparation": "launch coordinates are exact declarations; no preparation nuisance is profiled and no preparation-error bound is claimed",
    "secondary_common_gain": "Secondary optimistic control: one log multiplicative gain is shared by every dimensionless output, even across angle and scaled-velocity channels. It is not a sensor-specific calibration model.",
    "shared_clock": "one unrestricted epsilon with tau_actual=exp(epsilon)*tau_declared; epsilon is global across repetitions and group types, and its local response is tau*d(sensor output)/d tau"
  },
  "finite_library_scope": {
    "continuous_launch_time_sensor_optimization_claimed": false,
    "group_count": 3,
    "group_names": [
      "launch-A grouped trajectory",
      "launch-B grouped trajectory",
      "launch-C grouped trajectory"
    ],
    "legacy_scalar_candidate_count": 7,
    "only_declared_launches_sensors_and_times_searched": true
  },
  "grouped_protocol_library": [
    {
      "batch_repetition_semantics": "one repetition acquires every member output and scales the whole group output metric by one physical repetition weight",
      "cost_rule": "conservative sum of legacy scalar-candidate costs; no shared-run discount",
      "distinct_sensor_count": 3,
      "distinct_time_count": 2,
      "group_cost_exact": "7/2",
      "is_multi_sensor": true,
      "is_multi_time": true,
      "launch_exact": [
        "4/5",
        "-7/20",
        "0/1",
        "0/1"
      ],
      "member_names": [
        "launch-A / theta-1 / tau-1",
        "launch-A / theta-2 / tau-1",
        "launch-A / scaled-omega-2 / tau-3/2"
      ],
      "name": "launch-A grouped trajectory",
      "output_count": 3,
      "output_metric_exact": [
        [
          "1/1",
          "0/1",
          "0/1"
        ],
        [
          "0/1",
          "1/1",
          "0/1"
        ],
        [
          "0/1",
          "0/1",
          "1/1"
        ]
      ],
      "response_exact": [
        [
          "-104679/1000000",
          "3127/100000"
        ],
        [
          "84503/1000000",
          "-454351/1000000"
        ],
        [
          "-63769/250000",
          "234819/1000000"
        ]
      ],
      "shared_clock_and_common_gain_nuisance_response_exact": [
        [
          "-205821/200000",
          "40609/125000"
        ],
        [
          "525777/500000",
          "96047/1000000"
        ],
        [
          "-123019/50000",
          "115831/200000"
        ]
      ],
      "shared_clock_nuisance_response_exact": [
        [
          "-205821/200000"
        ],
        [
          "525777/500000"
        ],
        [
          "-123019/50000"
        ]
      ]
    },
    {
      "batch_repetition_semantics": "one repetition acquires every member output and scales the whole group output metric by one physical repetition weight",
      "cost_rule": "conservative sum of legacy scalar-candidate costs; no shared-run discount",
      "distinct_sensor_count": 2,
      "distinct_time_count": 2,
      "group_cost_exact": "9/4",
      "is_multi_sensor": true,
      "is_multi_time": true,
      "launch_exact": [
        "-3/5",
        "9/10",
        "0/1",
        "0/1"
      ],
      "member_names": [
        "launch-B / theta-1 / tau-3/4",
        "launch-B / scaled-omega-1 / tau-5/4"
      ],
      "name": "launch-B grouped trajectory",
      "output_count": 2,
      "output_metric_exact": [
        [
          "1/1",
          "0/1"
        ],
        [
          "0/1",
          "1/1"
        ]
      ],
      "response_exact": [
        [
          "7343/500000",
          "-15557/1000000"
        ],
        [
          "93811/200000",
          "207/50000"
        ]
      ],
      "shared_clock_and_common_gain_nuisance_response_exact": [
        [
          "194941/500000",
          "-420191/1000000"
        ],
        [
          "290887/500000",
          "1117927/1000000"
        ]
      ],
      "shared_clock_nuisance_response_exact": [
        [
          "194941/500000"
        ],
        [
          "290887/500000"
        ]
      ]
    },
    {
      "batch_repetition_semantics": "one repetition acquires every member output and scales the whole group output metric by one physical repetition weight",
      "cost_rule": "conservative sum of legacy scalar-candidate costs; no shared-run discount",
      "distinct_sensor_count": 2,
      "distinct_time_count": 2,
      "group_cost_exact": "5/2",
      "is_multi_sensor": true,
      "is_multi_time": true,
      "launch_exact": [
        "6/5",
        "2/5",
        "0/1",
        "0/1"
      ],
      "member_names": [
        "launch-C / theta-2 / tau-1",
        "launch-C / scaled-omega-2 / tau-3/2"
      ],
      "name": "launch-C grouped trajectory",
      "output_count": 2,
      "output_metric_exact": [
        [
          "1/1",
          "0/1"
        ],
        [
          "0/1",
          "1/1"
        ]
      ],
      "response_exact": [
        [
          "81009/1000000",
          "-4957/20000"
        ],
        [
          "-131393/500000",
          "471277/1000000"
        ]
      ],
      "shared_clock_and_common_gain_nuisance_response_exact": [
        [
          "290149/500000",
          "666057/1000000"
        ],
        [
          "-1346659/500000",
          "-86929/1000000"
        ]
      ],
      "shared_clock_nuisance_response_exact": [
        [
          "290149/500000"
        ],
        [
          "-1346659/500000"
        ]
      ]
    }
  ],
  "integration_and_declaration": {
    "coarse": {
      "atol": 1e-12,
      "max_step_in_tau": 0.01,
      "method": "DOP853 joint dimensionless state/parameter-sensitivity integration",
      "rtol": 1e-10,
      "sampled_scaled_energy_drift_tolerance": 1e-09
    },
    "fine": {
      "atol": 1e-14,
      "max_step_in_tau": 0.005,
      "method": "DOP853 joint dimensionless state/parameter-sensitivity integration",
      "rtol": 1e-12,
      "sampled_scaled_energy_drift_tolerance": 1e-09
    },
    "gates": {
      "clock_state_vector_relative": 1e-08,
      "parameter_sensitivity_relative": 1e-08,
      "point_rationalization_absolute": 5.1e-07,
      "state_relative": 1e-09
    },
    "point_declaration_rule": "round each fine scalar response to the nearest multiple of 1/1000000; this is not an enclosure",
    "refinement_norms": {
      "clock_state_vector_relative": "||c_c-c_f||_2/max(1,||c_f||_2)",
      "parameter_sensitivity_relative": "||S_c-S_f||_F/max(1,||S_f||_F)",
      "state_relative": "||z_c-z_f||_2/max(1,||z_f||_2)"
    }
  },
  "internal_recomputation_verification": {
    "exact_query_children_verified": true,
    "finite_rational_grid_recomputed": true,
    "outward_validation_performed": false,
    "passed": true,
    "tier1_numerics_recomputed": true
  },
  "outward_validation": {
    "clock_response_enclosed": false,
    "parameter_sensitivity_enclosed": false,
    "preparation_error_bounded": false,
    "rational_point_membership_certified": false,
    "state_enclosed": false
  },
  "proof_boundary": "The analytic inhomogeneous parameter-sensitivity solve, state solve, clock chain rule, solver refinement, and fixed-grid rationalization are Tier-1 numerical provenance. The exact query children prove finite rational linear statements only for the serialized point declarations. They do not prove that the exact double-pendulum flow or any physical response belongs to those declarations, and they do not include launch-preparation error.",
  "rank_theorem": {
    "clock_and_common_gain": "For d=2 and two independent shared nuisance columns, m>=4 is necessary and rank([B H])-rank(B)=2 is sufficient.",
    "clock_only": "For d=2 and one rank-one unrestricted shared nuisance, m-r>=d requires m>=3. Full query rank holds exactly when rank([B H])-rank(B)=2.",
    "minimum_output_condition_is_constructively_attained": true,
    "minimum_three_output_launch_A_effective_rank_exact": 2,
    "secondary_gain_effective_rank_exact": 2,
    "secondary_gain_selected_output_count": 7,
    "selected_clock_effective_rank_exact": 2,
    "selected_clock_output_count": 5
  },
  "rational_grid_search": {
    "clock_and_optimistic_common_gain": {
      "enumeration_rule": "all nonnegative three-group budget shares with integer numerators summing to the grid denominator",
      "evaluated_share_count": 91,
      "evaluations": [
        {
          "active_group_indices": [
            2
          ],
          "active_output_count": 2,
          "budget_shares_exact": [
            "0/1",
            "0/1",
            "1/1"
          ],
          "descriptive_profiled_floor_estimate": 0.0,
          "effective_response_rank_exact": 0,
          "nuisance_rank_exact": 2
        },
        {
          "active_group_indices": [
            1,
            2
          ],
          "active_output_count": 4,
          "budget_shares_exact": [
            "0/1",
            "1/12",
            "11/12"
          ],
          "descriptive_profiled_floor_estimate": 2.7390146838759468e-05,
          "effective_response_rank_exact": 2,
          "nuisance_rank_exact": 2
        },
        {
          "active_group_indices": [
            1,
            2
          ],
          "active_output_count": 4,
          "budget_shares_exact": [
            "0/1",
            "1/6",
            "5/6"
          ],
          "descriptive_profiled_floor_estimate": 5.2471838406648956e-05,
          "effective_response_rank_exact": 2,
          "nuisance_rank_exact": 2
        },
        {
          "active_group_indices": [
            1,
            2
          ],
          "active_output_count": 4,
          "budget_shares_exact": [
            "0/1",
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            "3/4"
          ],
          "descriptive_profiled_floor_estimate": 7.484653023886614e-05,
          "effective_response_rank_exact": 2,
          "nuisance_rank_exact": 2
        },
        {
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            1,
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          ],
          "active_output_count": 4,
          "budget_shares_exact": [
            "0/1",
            "1/3",
            "2/3"
          ],
          "descriptive_profiled_floor_estimate": 9.401989163950768e-05,
          "effective_response_rank_exact": 2,
          "nuisance_rank_exact": 2
        },
        {
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          ],
          "active_output_count": 4,
          "budget_shares_exact": [
            "0/1",
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            "7/12"
          ],
          "descriptive_profiled_floor_estimate": 0.00010937176728183867,
          "effective_response_rank_exact": 2,
          "nuisance_rank_exact": 2
        },
        {
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          ],
          "active_output_count": 4,
          "budget_shares_exact": [
            "0/1",
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            "1/2"
          ],
          "descriptive_profiled_floor_estimate": 0.00012011435413075744,
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          "nuisance_rank_exact": 2
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          ],
          "descriptive_profiled_floor_estimate": 0.0001252329878681864,
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          "active_output_count": 4,
          "budget_shares_exact": [
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          "descriptive_profiled_floor_estimate": 0.0001234007862906378,
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          "descriptive_profiled_floor_estimate": 0.00011285322578244423,
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          ],
          "descriptive_profiled_floor_estimate": 9.120009805129771e-05,
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          "descriptive_profiled_floor_estimate": 5.513774880255256e-05,
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          "descriptive_profiled_floor_estimate": 0.0,
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          "descriptive_profiled_floor_estimate": 2.7224741281930853e-05,
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          "descriptive_profiled_floor_estimate": 0.0006567450497298709,
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          "descriptive_profiled_floor_estimate": 0.0007977091683332618,
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          ],
          "descriptive_profiled_floor_estimate": 0.0008276905214266575,
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          0.0810088045421272,
          -0.24785046457454626
        ],
        "selected_sensor_output": 0.6660572261645694,
        "terminal_parameter_sensitivity_D_state_D_uv": [
          [
            -0.08897486601649052,
            -0.002705996727448175
          ],
          [
            0.0810088045421272,
            -0.24785046457454626
          ],
          [
            -0.18733042993622048,
            -0.0690900259740557
          ],
          [
            0.15694398760829126,
            -0.41298633581223
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        "terminal_rhs_D_state_D_tau": [
          -1.099659824656034,
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          -0.5493350564965185,
          -0.09511378751596475
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        "terminal_state": [
          0.6442015486075846,
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          -1.099659824656034,
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      },
      "launch_exact": [
        "6/5",
        "2/5",
        "0/1",
        "0/1"
      ],
      "legacy_scalar_cost_exact": "1/1",
      "name": "launch-C / theta-2 / tau-1",
      "noise_precision_exact": "1/1",
      "observation_time_tau_exact": "1/1",
      "refinement_discrepancies": {
        "clock_state_vector_relative": 4.569535288123972e-15,
        "parameter_sensitivity_relative": 1.342373438313509e-15,
        "state_relative": 1.1566627726381805e-15
      },
      "sensor": "theta_2",
      "sensor_state_index": 1,
      "tier1_controls_passed": true
    },
    {
      "coarse": {
        "accepted_step_count": 150,
        "clock_log_dilation_state_response_tau_times_rhs": [
          -1.466408002234337,
          -0.13039302312028433,
          0.8615674968548457,
          -2.693317660166115
        ],
        "max_scaled_energy_drift": 4.440892098500626e-16,
        "nfev": 2252,
        "selected_clock_response": -2.693317660166115,
        "selected_common_gain_response": -0.08692868208018956,
        "selected_parameter_response_row": [
          -0.2627857193301506,
          0.471276722080529
        ],
        "selected_sensor_output": -0.08692868208018956,
        "terminal_parameter_sensitivity_D_state_D_uv": [
          [
            -0.07976354302457699,
            -0.07189853776920785
          ],
          [
            0.029367343214650857,
            -0.23674167795883466
          ],
          [
            0.18283172077856283,
            -0.12556194650109845
          ],
          [
            -0.2627857193301506,
            0.471276722080529
          ]
        ],
        "terminal_rhs_D_state_D_tau": [
          -0.9776053348228914,
          -0.08692868208018956,
          0.5743783312365638,
          -1.79554510677741
        ],
        "terminal_state": [
          0.10306906954767595,
          0.8233692720774803,
          -0.9776053348228914,
          -0.08692868208018956
        ]
      },
      "declared_rational_point": {
        "absolute_errors": {
          "clock_response": 3.398338876969831e-07,
          "common_gain_response": 3.17919808826006e-07,
          "parameter_response": [
            2.8066984925079197e-07,
            2.77919470603738e-07
          ]
        },
        "clock_response_exact": "-1346659/500000",
        "common_gain_response_exact": "-86929/1000000",
        "fixed_denominator_before_reduction": 1000000,
        "parameter_response_exact": [
          "-131393/500000",
          "471277/1000000"
        ],
        "status": "conditional rational point; not an ODE enclosure"
      },
      "fine": {
        "accepted_step_count": 301,
        "clock_log_dilation_state_response_tau_times_rhs": [
          -1.4664080022343353,
          -0.13039302312028678,
          0.8615674968548452,
          -2.6933176601661124
        ],
        "max_scaled_energy_drift": 5.921189464667501e-16,
        "nfev": 4517,
        "selected_clock_response": -2.6933176601661124,
        "selected_common_gain_response": -0.08692868208019118,
        "selected_parameter_response_row": [
          -0.26278571933015077,
          0.4712767220805294
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        "selected_sensor_output": -0.08692868208019118,
        "terminal_parameter_sensitivity_D_state_D_uv": [
          [
            -0.07976354302457693,
            -0.07189853776920763
          ],
          [
            0.029367343214650638,
            -0.2367416779588342
          ],
          [
            0.18283172077856297,
            -0.12556194650109812
          ],
          [
            -0.26278571933015077,
            0.4712767220805294
          ]
        ],
        "terminal_rhs_D_state_D_tau": [
          -0.9776053348228901,
          -0.08692868208019118,
          0.5743783312365635,
          -1.7955451067774084
        ],
        "terminal_state": [
          0.1030690695476757,
          0.8233692720774805,
          -0.9776053348228901,
          -0.08692868208019118
        ]
      },
      "launch_exact": [
        "6/5",
        "2/5",
        "0/1",
        "0/1"
      ],
      "legacy_scalar_cost_exact": "3/2",
      "name": "launch-C / scaled-omega-2 / tau-3/2",
      "noise_precision_exact": "1/1",
      "observation_time_tau_exact": "3/2",
      "refinement_discrepancies": {
        "clock_state_vector_relative": 1.2709787074699707e-15,
        "parameter_sensitivity_relative": 7.9480630270599e-16,
        "state_relative": 1.5950526654686568e-15
      },
      "sensor": "scaled_omega_2",
      "sensor_state_index": 3,
      "tier1_controls_passed": true
    }
  ],
  "schema_version": "oig-double-pendulum-grouped-protocol-v1",
  "selected_designs": {
    "cost_weighted_clock_only": {
      "budget_shares_exact": [
        "2/3",
        "1/3",
        "0/1"
      ],
      "positive_floor": {
        "descriptive_profiled_floor_lower": 0.018026929453263358,
        "identity_query_relation": "profiled floor = 1/(minimax identity-query amplification squared)",
        "profiled_floor_lower_exact": "13779612981787854684459904996426557359436244703963504643644850176/764390464694106501214925417116232161175466503411161923039119419429",
        "profiled_floor_upper_exact": "31009562716758388491553844565288974594953/1720179956168010777290336510380256250000000",
        "strictly_positive_exact": true
      }
    },
    "minimum_clock_only": {
      "budget_shares_exact": [
        "1/1",
        "0/1",
        "0/1"
      ],
      "positive_floor": {
        "descriptive_profiled_floor_lower": 9.789124164627926e-06,
        "identity_query_relation": "profiled floor = 1/(minimax identity-query amplification squared)",
        "profiled_floor_lower_exact": "2656313622412568391830785344028483501162026017082516529217536/271353552957363266708642812779285240324977831260063128781397733607",
        "profiled_floor_upper_exact": "2261648364358617795867283370931523/231036845209387391926902536750000000000",
        "strictly_positive_exact": true
      }
    },
    "secondary_clock_and_common_gain": {
      "budget_shares_exact": [
        "5/12",
        "1/4",
        "1/3"
      ],
      "positive_floor": {
        "descriptive_profiled_floor_lower": 0.0021840122221773164,
        "identity_query_relation": "profiled floor = 1/(minimax identity-query amplification squared)",
        "profiled_floor_lower_exact": "111061684488730216571204782315756491366704593257700653389774929875945437576298496/50852135057197170529832416871813416824710960143606076357899293161818229257884513419",
        "profiled_floor_upper_exact": "5755202740559823274230857528570480293458660835077887183/2635151343073650244212891342774124224685196691000000000000",
        "strictly_positive_exact": true
      },
      "scope": "Secondary optimistic control: one log multiplicative gain is shared by every dimensionless output, even across angle and scaled-velocity channels. It is not a sensor-specific calibration model."
    }
  },
  "source_model": {
    "base_point_exact": [
      "0/1",
      "0/1"
    ],
    "coordinates": [
      "u=log(m2/m1)",
      "v=log(l2/l1)"
    ],
    "dimensionless_convention": "m1=l1=g=1, m2=exp(u), l2=exp(v), tau=t*sqrt(g/l1), nu=dtheta/dtau",
    "query": "the full two-dimensional identity query in (u,v)"
  },
  "status": "constructive positive grouped-protocol floor"
}
