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    },
    {
      "provider": "qwen",
      "model": "Qwen3.5-9B (Q4_K_M)",
      "caseId": "Normal_Videos_129-000-accident",
      "sourceId": "Normal_Videos_129",
      "event": "A road traffic accident occurs.",
      "startSeconds": 0,
      "endSeconds": 15.566667,
      "expected": "no_match",
      "choice": "match",
      "latencySeconds": 2.17558149999968,
      "estimatedCostUSD": null,
      "frameHashes": [
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      ]
    }
  ],
  "method": {
    "frozenBeforeCalls": true,
    "eventScoring": "One detected event per accident recording if any observation overlapping its publisher interval matches. The two normal recordings are negative controls, excluded from event-recall denominator.",
    "negativeScoring": "False alerts use negative observations only; unknown is reported separately and never a correct negative. Aftermath outside publisher intervals remains unscored.",
    "scope": "Five complete recordings; identical saved frames at 1 FPS, maximum 20 seconds per observation, 640px maximum edge, no upscaling or padding. Source resolution 320x240. Production prompts/Station serializers for cloud and Qwen, research PyTorch for Liquid. Not live RTSP or notification delivery.",
    "publication": "UCF images are private evaluation material; public source links only.",
    "limitations": "Three accident events and two short normal clips; not a general accuracy estimate. Some recordings were used in earlier evaluations. One FPS may omit the instant of impact. Normal129 shows reflective clothing and stationary vehicles, but no visible collision; it does not establish why people are present.",
    "sources": [
      "https://www.crcv.ucf.edu/research/real-world-anomaly-detection-in-surveillance-videos/"
    ]
  }
}