{
  "calibrator": "sigmoid on separate calibration cohort, bundled in model.json",
  "data_manifest_sha256": "618cbbfe92a8d3511b84e8c317be2d1525316d40ea3af638634d8fe32183f986",
  "decision": "pass_simulated_gate",
  "dependencies": "Python standard library only; record exact Python version when reproducing",
  "evaluation_report": "reports/evaluation.json",
  "evaluation_sha256": "970a6b4952ff0a8d4ca8a1ddc9ea17545c437384d155b9a93b122f617449ef5c",
  "evidence_level": "simulated prototype",
  "experiment_decision": "inconclusive",
  "fallback": "training-prevalence baseline; no autonomous contact or price action",
  "feature_schema": [
    "purchases_30d",
    "support_30d",
    "recency_days"
  ],
  "model_sha256": "1b9659424e7cbb556d8126a08d866220d36e8dfa834e6a0aa3dbc343c441e1f8",
  "policy": {
    "false_negative_cost": 10,
    "false_positive_cost": 2,
    "threshold": 0.15
  },
  "real_world_launch_approved": false,
  "release_id": "synthetic-v1.1.0-seed-42",
  "source_sha256": "22e9a57372c15448f516c3e2af004bccba734cb59dc2cc0e0f974c945246722e",
  "training_cutoff": "2025-03-05T12:00:00Z"
}