FluidInference/verdict-coreml

1{2  "model_id": "openjev-modernbert-151.4m",3  "temperature": 2.8039,4  "log_temperature": 1.0309995577626943,5  "scope": "open_domain_calibrated_v1",6  "per_k": {7    "2": 5.0069,8    "3": 5.0069,9    "4": 4.0314,10    "5": 3.0560,11    "6": 2.3898,12    "7": 2.3898,13    "9": 1.6668,14    "11": 3.3919,15    "17": 1.7200,16    "25": 1.514417  },18  "artifact_hash": "b4742a033bce3fb4707e78d910dc89d53c30656d028b1836a992ba87e0766324",19  "format_version": "rlcd-calibrator-v1",20  "provenance": {21    "fitted_on": [22      "data/real_banking_cal.jsonl",23      "data/synthetic_calibration.jsonl",24      "data/slice_cardinality_k3.jsonl",25      "data/slice_cardinality_k5.jsonl",26      "data/slice_cardinality_k9.jsonl",27      "data/slice_cardinality_k17.jsonl",28      "data/slice_cardinality_k25.jsonl",29      "data/slice_distant_oos.jsonl",30      "data/slice_missing_option.jsonl",31      "data/gen/T01.jsonl",32      "data/gen/T02.jsonl",33      "data/gen/T03.jsonl",34      "data/gen/T07.jsonl",35      "data/gen/T12.jsonl"36    ],37    "total_calibration_items": 1753,38    "date": "2026-09-20T14:00:00Z",39    "notes": "Honest stratified temperature scaling fitted strictly via NLL minimization on held-out calibration data. Zero fitting on JevBench evaluation tasks."40  }41}