str_config.json

{
  "release_version": "1.0",
  "model_file": "str_model.joblib",
  "calibrator_file": "str_calibrator.joblib",
  "calibration": "isotonic regression on out-of-fold scores",
  "features": [
    "is_pass",
    "motif_len",
    "ref_copynum",
    "gt_repcn_max",
    "gt_repcn_min",
    "expansion_over_ref",
    "repci_width_max",
    "spanning_reads",
    "flanking_reads",
    "inrepeat_reads",
    "locus_depth",
    "gt_hom",
    "ref_tract_bp",
    "spanning_frac",
    "allele_vs_readlen",
    "motif_is_homopolymer",
    "gc_flank",
    "entropy_flank",
    "in_segdup",
    "in_difficult",
    "flank_lowmap"
  ],
  "n_features": 21,
  "missing_sentinel": -99999.0,
  "tiers": {
    "HIGH": "CS>=0.70",
    "MODERATE": "0.50<=CS<0.70",
    "WARNING": "0.30<=CS<0.50",
    "LOW": "CS<0.30"
  },
  "tier_edges": [
    0.3,
    0.5,
    0.7
  ],
  "score": "CS = isotonic-calibrated P(call concordant with long-read truth)",
  "variant_class": "STR",
  "sklearn_version_trained": "1.7.1",
  "training": {
    "cohort": "HPRC",
    "n_samples": 208,
    "n_train_rows": 22651133,
    "cv": "5-fold GroupKFold by sample",
    "oof_auroc": 0.8342,
    "oof_auprc": 0.886
  }
}