{
  "schemaVersion": 1,
  "slug": "gps-confidence-v1",
  "model": "driftistan-gps-confidence-v1",
  "publicName": "Driftistan GPS Confidence v1",
  "purpose": "Estimates the next-position constant-velocity prediction error from coordinate-free GPS quality and motion features.",
  "status": "Private active Debug evaluation",
  "deploymentStatus": "active_debug_evaluation",
  "runtimeMode": "active-debug-evaluation",
  "trainedAt": "2026-08-08T18:56:37.689100+00:00",
  "generatedAt": "2026-08-12T14:39:07.300Z",
  "samples": 23193,
  "captureGroups": 8,
  "validation": "Held-out capture-group validation",
  "modelMaeM": 0.309,
  "accuracyBaselineMaeM": 4.5342,
  "improvementPercent": 93.2,
  "beatsBaseline": true,
  "limitations": [
    "Training drives currently represent few devices, drivers and regions.",
    "Future GPS positions are a proxy label, not surveyed lane-level ground truth.",
    "Active use is restricted to bounded visual-only projection in the private Debug app; accepted GPS, journey evidence and route decisions remain deterministic."
  ],
  "scenarios": [
    {
      "id": "clean-city",
      "label": "Clean city fix",
      "description": "Accurate one-second fixes with aligned provider and derived speed.",
      "predictedErrorM": 0.845
    },
    {
      "id": "urban-canyon",
      "label": "Urban canyon",
      "description": "Delayed, less accurate fixes with speed disagreement and a sharp course change.",
      "predictedErrorM": 3.8585
    },
    {
      "id": "stopped-jitter",
      "label": "Stopped with jitter",
      "description": "Stationary provider state while coordinates suggest a small false movement.",
      "predictedErrorM": 1.0907
    }
  ],
  "telemetry": {
    "status": "measured",
    "source": "Consented complete capture groups eligible for model training",
    "refreshedAt": "2026-08-08T18:56:37.689100+00:00",
    "observationCount": 23193,
    "captureGroupCount": 8,
    "observedMovementKm": 358.2,
    "observedFixHours": 6.44,
    "medianFixIntervalMs": 1000,
    "medianReportedAccuracyM": 3.79,
    "p95ReportedAccuracyM": 9.94,
    "privacyBoundary": "Coordinates, route geometry, capture identifiers, device fingerprints, feature vectors and model internals are excluded."
  },
  "history": [
    {
      "trainedAt": "2026-08-08T18:56:37.689100+00:00",
      "samples": 23193,
      "captureGroups": 8,
      "modelMaeM": 0.309,
      "accuracyBaselineMaeM": 4.5342
    }
  ]
}