{
  "baseline_gap_bins": 2,
  "baseline_window_bins": 12,
  "boundary": "Planning estimate from a simulated drift+event profile. Not a measurement of any specific cleanroom, MES integration, or vendor edge-AI computer-vision model.",
  "consecutive_bins_to_fire": 2,
  "default_result": {
    "detected": true,
    "fp_windows": 0,
    "lead_time_minutes": 5.0,
    "precision": 1.0,
    "tp_windows": 3
  },
  "default_threshold": 3.0,
  "event_end_hour": 21.25,
  "event_start_hour": 20.0,
  "question": "How early can we detect a bioreactor anomaly (sensor drift then contamination event), and at what precision?",
  "seed": 42,
  "target_cell_id": "cell_pha_001",
  "threshold_sweep": [
    {
      "detected": true,
      "fp_windows": 3,
      "lead_time_minutes": 5.0,
      "precision": 0.5714285714285714,
      "threshold": 2.0,
      "tp_windows": 4
    },
    {
      "detected": true,
      "fp_windows": 2,
      "lead_time_minutes": 5.0,
      "precision": 0.6,
      "threshold": 2.5,
      "tp_windows": 3
    },
    {
      "detected": true,
      "fp_windows": 0,
      "lead_time_minutes": 5.0,
      "precision": 1.0,
      "threshold": 3.0,
      "tp_windows": 3
    },
    {
      "detected": true,
      "fp_windows": 0,
      "lead_time_minutes": 5.0,
      "precision": 1.0,
      "threshold": 3.5,
      "tp_windows": 2
    },
    {
      "detected": true,
      "fp_windows": 0,
      "lead_time_minutes": 5.0,
      "precision": 1.0,
      "threshold": 4.0,
      "tp_windows": 2
    }
  ],
  "vertical": "pharma_bioreactor"
}