nohup: ignoring input
[auto-eval] Training done. Starting eval v15...
[eval_v15] Scores file already exists: /home/aiserver/works/fingerprint/sifq/eval_results/sifq_scores_v15.jsonl (skipping inference)
[eval_v15] Running evaluation (Track 2 + Track 4, exclude: R_1000_slap,R_500_slap,S_500_slap)...
Loaded 16061 SIFQ score records from /home/aiserver/works/fingerprint/sifq/eval_results/sifq_scores_v15.jsonl
After excluding sensors {'R_500_slap', 'S_500_slap', 'R_1000_slap'}: 16061 records remain
[Track 2] Computing sensor invariance...
  Sensor invariance done. Mean KS=0.2758, Pearson=0.0102
[Track 1] Skipped (--skip-track1)
[Track 4] Computing concept grounding (crosstalk matrix)...
  Crosstalk matrix saved.

============================================================
EVALUATION SUMMARY
============================================================

Track 2 — Sensor Invariance:
  SIFQ      : Mean KS = 0.2758  Pearson = 0.0102

Plots and JSON saved to: /home/aiserver/works/fingerprint/sifq/eval_results/v15
Full summary: /home/aiserver/works/fingerprint/sifq/eval_results/v15/eval_summary.json
[eval_v15] Eval done. Results in /home/aiserver/works/fingerprint/sifq/eval_results/v15
[eval_v15] Generating score milestone samples...
Saved → /home/aiserver/works/fingerprint/sifq/eval_results/v15/milestone_samples.png
[eval_v15] Milestone image: /home/aiserver/works/fingerprint/sifq/eval_results/v15/milestone_samples.png

=== SUMMARY ===
{
  "track2_sensor_invariance": {
    "SIFQ": {
      "mean_ks_across_sensors": 0.2758,
      "cross_sensor_pearson": 0.0102,
      "n_sensor_pairs": 55,
      "per_pair_ks": [
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          "sensor_b": "R_500_slap-segmented",
          "ks_stat": 0.1956521739130435,
          "p_value": 8.235283034486682e-16
        },
        {
          "sensor_a": "R_1000_slap-segmented",
          "sensor_b": "S_500_slap-segmented",
          "ks_stat": 0.24786634460547505,
          "p_value": 2.707048585536307e-27
        },
        {
          "sensor_a": "R_1000_slap-segmented",
          "sensor_b": "U_1000_roll",
          "ks_stat": 0.31021739130434783,
          "p_value": 4.144741182401026e-54
        },
        {
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          "ks_stat": 0.3022608695652174,
          "p_value": 2.3951504814504498e-51
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        {
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          "ks_stat": 0.30193478260869566,
          "p_value": 3.096606159254678e-51
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        {
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    }
  },
  "track4_concept_grounding": [
    {
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      "orientation_coherence": 0.4020940523513088,
      "ridge_valley_clarity": -0.32084902122553066,
      "continuity": -0.35434185854646366,
      "noise_level": 0.3573434335858397,
      "contrast_uniformity": 0.04219305482637067,
      "minutiae_reliability": -0.43128178204455114
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    {
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    {
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    {
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    {
      "degradation": "dry_skin",
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      "contrast_uniformity": 0.2026970674266857,
      "minutiae_reliability": -0.2474341858546464
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    {
      "degradation": "wet_press",
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      "minutiae_reliability": -0.3987369684242107
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  ]
}