{
  "axis": "Continuity of Computation (orthogonal to the 5-line ladder)",
  "axis_question": "Why did the computation happen?",
  "hero_question": "Why did the model matter?",
  "honest_limit": "The proof establishes that the model's score depended on these features in this way. It does NOT establish that the model should have depended on them, that they were the right features, or that a model relying on them is legally permissible. Those remain model-governance and regulatory determinations.",
  "input": {
    "decision_id": "decision_loan_84711_recommendation",
    "event_count_total": 12,
    "model_owner": "princ_model_owner_credit_underwriting",
    "t_influence_ms": 1932000000000,
    "t_replay_ms": 2064614400000,
    "tenant": "tenant_insurance_claim_44962d9b-25f5-5622-bd9a-98d5580bb8a2",
    "tenant_root": "princ_root_claim_44962d9b-25f5-5622-bd9a-98d5580bb8a2"
  },
  "killer_query": "show_model_influence(decision_loan_84711_recommendation)",
  "money_quote": "Influence ≠ Causation.",
  "proof_id": "first-model-influence-replay",
  "show_model_influence_returned": {
    "attribution_frame": "feature_weights",
    "counterfactual_probes": [
      {
        "alternative_value": "5.0",
        "feature_name": "loan_amount_to_income_ratio",
        "resulting_score": 0.68,
        "would_have_changed_outcome": true
      },
      {
        "alternative_value": "0.30",
        "feature_name": "credit_utilization",
        "resulting_score": 0.91,
        "would_have_changed_outcome": false
      },
      {
        "alternative_value": "0.65",
        "feature_name": "debt_to_income",
        "resulting_score": 0.61,
        "would_have_changed_outcome": true
      }
    ],
    "decision_id": "decision_loan_84711_recommendation",
    "decision_threshold": 0.75,
    "feature_attribution": [
      {
        "feature_name": "debt_to_income",
        "value": "0.42",
        "weight": 0.31
      },
      {
        "feature_name": "credit_utilization",
        "value": "0.78",
        "weight": 0.22
      },
      {
        "feature_name": "employment_tenure_years",
        "value": "8.2",
        "weight": 0.18
      },
      {
        "feature_name": "payment_history_pct",
        "value": "0.96",
        "weight": 0.12
      },
      {
        "feature_name": "loan_amount_to_income_ratio",
        "value": "10.5",
        "weight": -0.21
      }
    ],
    "hero_question": "Why did the model matter?",
    "honest_limit": "The proof establishes that the model's score depended on these features in this way. It does NOT establish that the model should have depended on them, that they were the right features, or that a model relying on them is legally permissible. Those remain model-governance and regulatory determinations.",
    "influence_id": "influence_loan_84711_recommendation_v1",
    "model_id": "model_credit_underwriting",
    "model_version": 1,
    "money_quote": "Influence ≠ Causation.",
    "prediction_score": 0.84,
    "score_above_threshold": true,
    "score_margin": 0.08999999999999997
  },
  "state_id_at_replay_2035": "e72d3c0e71a11ce0aaf1e8c9eb5c720aff49a6238c76976b4f4435b50e43bee2",
  "what_survives_model_retirement": {
    "consequences": true,
    "decision": true,
    "model_execution": false,
    "model_identity": true,
    "model_influence": true,
    "model_weights": false,
    "responsibility": true
  }
}