{
  "experiment": "non-thermal multi-modal fusion + conformal FNR bound on a clear-sky sub-threshold fire all operational feeds missed",
  "note": "caught_rate = fraction of 7 random seeds whose conformal-calibrated score cleared the false-negative-rate bound (alpha=0.05) at a forest-ranger-confirmed truth node; footprint = fraction of graph nodes alerted (efficiency cost).",
  "configs": {
    "adgno": {
      "model": "adgno",
      "seeds": 7,
      "alpha": 0.05,
      "caught_rate": 0.857,
      "footprint_mean": 0.696,
      "footprint_std": 0.0073,
      "truth_score_mean": [
        0.9199,
        0.8465
      ],
      "n_nodes": 1187,
      "n_positives": 837,
      "ablation": {
        "no_wind": false,
        "no_citizen": false
      }
    },
    "adgnonocitizen": {
      "model": "adgno",
      "seeds": 7,
      "alpha": 0.05,
      "caught_rate": 0.429,
      "footprint_mean": 0.6972,
      "footprint_std": 0.0046,
      "truth_score_mean": [
        0.6538,
        0.4372
      ],
      "n_nodes": 1187,
      "n_positives": 837,
      "ablation": {
        "no_wind": false,
        "no_citizen": true
      }
    },
    "adgnonowind": {
      "model": "adgno",
      "seeds": 7,
      "alpha": 0.05,
      "caught_rate": 0.714,
      "footprint_mean": 0.6784,
      "footprint_std": 0.0076,
      "truth_score_mean": [
        0.9195,
        0.9195
      ],
      "n_nodes": 1187,
      "n_positives": 837,
      "ablation": {
        "no_wind": true,
        "no_citizen": false
      }
    },
    "gat": {
      "model": "gat",
      "seeds": 7,
      "alpha": 0.05,
      "caught_rate": 0.571,
      "footprint_mean": 0.6788,
      "footprint_std": 0.0066,
      "truth_score_mean": [
        0.5972,
        0.6056
      ],
      "n_nodes": 1187,
      "n_positives": 837,
      "ablation": {
        "no_wind": false,
        "no_citizen": false
      }
    },
    "gatnocitizen": {
      "model": "gat",
      "seeds": 7,
      "alpha": 0.05,
      "caught_rate": 0.0,
      "footprint_mean": 0.6751,
      "footprint_std": 0.0071,
      "truth_score_mean": [
        0.1756,
        0.1739
      ],
      "n_nodes": 1187,
      "n_positives": 837,
      "ablation": {
        "no_wind": false,
        "no_citizen": true
      }
    },
    "gatnowind": {
      "model": "gat",
      "seeds": 7,
      "alpha": 0.05,
      "caught_rate": 0.571,
      "footprint_mean": 0.6748,
      "footprint_std": 0.0086,
      "truth_score_mean": [
        0.7255,
        0.7255
      ],
      "n_nodes": 1187,
      "n_positives": 837,
      "ablation": {
        "no_wind": true,
        "no_citizen": false
      }
    }
  }
}