model_selection.json

{
  "baseline_0pct_train_0pct_gate_mask_mAP50_95": 0.8164424504069899,
  "default_gate_margin_per_side": 0.1,
  "default_variant": "n",
  "historical_metric_directly_comparable": false,
  "historical_nano_mask_mAP50_95_context_only": 0.763,
  "mask_mAP50_95_regression_vs_0pct_baseline": 0.0035506830217357788,
  "nano_mask_mAP50_95": 0.8128917673852541,
  "nano_training_halo_margin_per_side": 0.15,
  "rule": "deploy the 15% halo-trained nano model with a 10% inference gate because mask mAP50-95 regression is no more than 0.005 and cardinal truncation is reduced",
  "selected_cardinal_contact_rate": 0.00015337423312883436,
  "small_mask_mAP50_95": 0.7585198472692777,
  "zero_halo_baseline_cardinal_contact_rate": 0.4793456032719836
}