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onnx/model_quantized.onnx — int8 quantized weights (preferred for browser)config.json / ort_config.json / inference_config.json1{
2 "threshold": 0.5,
3 "thresholds": {
4 "structure_ok": 0.5,
5 "numerical_clear": 0.5,
6 "novelty_ok": 0.5,
7 "methods_concrete": 0.5,
8 "selective_ready": 0.55,
9 "ieee_craft": 0.5
10 },
11 "labels": [
12 "structure_ok",
13 "numerical_clear",
14 "novelty_ok",
15 "methods_concrete",
16 "selective_ready",
17 "ieee_craft"
18 ],
19 "base_model": "allenai/scibert_scivocab_uncased",
20 "problem_type": "multi_label_classification",
21 "test_macro_f1": 0.920882611076118,
22 "test_micro_f1": 0.9814847678201716,
23 "test_mean_auc": 0.8737736064080326,
24 "train_size": 20000,
25 "epochs": 2,
26 "wall_seconds": 2563,
27 "disclaimer": "Heuristic readiness signal heads from open arXiv-derived text. Not acceptance probability; not official Q1/Q2; not IEEE-affiliated."
28}