nohup: ignoring input
[eval_v14] Running inference on /home/aiserver/works/fingerprint/sifq/checkpoints_full_v14/last.pt ...
Loading checkpoint: /home/aiserver/works/fingerprint/sifq/checkpoints_full_v14/last.pt
Model loaded. Device: cuda
After excluding sensors {'R_500_slap', 'R_1000_slap', 'S_500_slap'}: 16061 records remain
Discovered 16061 records
  4000/16061 done
  8000/16061 done
  12000/16061 done
  16000/16061 done
Done. Scores saved to: /home/aiserver/works/fingerprint/sifq/eval_results/sifq_scores_v14.jsonl
[eval_v14] Inference done: /home/aiserver/works/fingerprint/sifq/eval_results/sifq_scores_v14.jsonl
[eval_v14] 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_v14.jsonl
After excluding sensors {'S_500_slap', 'R_500_slap', 'R_1000_slap'}: 16061 records remain
[Track 2] Computing sensor invariance...
  Sensor invariance done. Mean KS=0.2628, Pearson=0.2936
[Track 1] Skipped (--skip-track1)
[Track 4] Computing concept grounding (crosstalk matrix)...
  Crosstalk matrix saved.

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

Track 2 — Sensor Invariance:
  SIFQ      : Mean KS = 0.2628  Pearson = 0.2936

Plots and JSON saved to: /home/aiserver/works/fingerprint/sifq/eval_results/v14
Full summary: /home/aiserver/works/fingerprint/sifq/eval_results/v14/eval_summary.json
[eval_v14] Eval done. Results in /home/aiserver/works/fingerprint/sifq/eval_results/v14
[eval_v14] Generating score milestone samples...
Saved → /home/aiserver/works/fingerprint/sifq/eval_results/v14/milestone_samples.png
[eval_v14] Milestone image: /home/aiserver/works/fingerprint/sifq/eval_results/v14/milestone_samples.png

=== SUMMARY ===
{
  "track2_sensor_invariance": {
    "SIFQ": {
      "mean_ks_across_sensors": 0.2628,
      "cross_sensor_pearson": 0.2936,
      "n_sensor_pairs": 55,
      "per_pair_ks": [
        {
          "sensor_a": "R_1000_slap-segmented",
          "sensor_b": "R_500_slap-segmented",
          "ks_stat": 0.12282608695652174,
          "p_value": 1.825397095311001e-06
        },
        {
          "sensor_a": "R_1000_slap-segmented",
          "sensor_b": "S_500_slap-segmented",
          "ks_stat": 0.13900966183574878,
          "p_value": 7.737648810657784e-09
        },
        {
          "sensor_a": "R_1000_slap-segmented",
          "sensor_b": "U_1000_roll",
          "ks_stat": 0.17867391304347827,
          "p_value": 4.708320649492573e-18
        },
        {
          "sensor_a": "R_1000_slap-segmented",
          "sensor_b": "U_500_roll",
          "ks_stat": 0.18478260869565216,
          "p_value": 2.764747601345271e-19
        },
        {
          "sensor_a": "R_1000_slap-segmented",
          "sensor_b": "V_1000_roll",
          "ks_stat": 0.17017391304347826,
          "p_value": 2.0690813296296736e-16
        },
        {
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          "ks_stat": 0.17965217391304347,
          "p_value": 3.009820844890931e-18
        },
        {
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          "ks_stat": 0.33390603085554,
          "p_value": 3.4478993510246645e-46
        },
        {
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          "sensor_b": "flat_L_500",
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          "p_value": 4.246574954914477e-90
        },
        {
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          "p_value": 7.081838749586306e-14
        },
        {
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          "ks_stat": 0.1906498363721365,
          "p_value": 2.7394916736237e-07
        },
        {
          "sensor_a": "R_500_slap-segmented",
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        {
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          "p_value": 1.6832004382098917e-44
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        {
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          "p_value": 1.918344629719745e-23
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        {
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          "p_value": 2.0732658693535617e-10
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        {
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        {
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      ]
    }
  },
  "track4_concept_grounding": [
    {
      "degradation": "blur",
      "orientation_coherence": 0.10530563264081602,
      "ridge_valley_clarity": -0.186651166279157,
      "continuity": -0.003472586814670367,
      "noise_level": 0.08311557788944725,
      "contrast_uniformity": 0.21552388809720247,
      "minutiae_reliability": 0.4978354458861472
    },
    {
      "degradation": "noise",
      "orientation_coherence": 0.0014370359258981476,
      "ridge_valley_clarity": -0.1556333908347709,
      "continuity": 0.027753693842346064,
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      "minutiae_reliability": 0.04998874971874298
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    {
      "degradation": "jpeg",
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      "continuity": -0.10044251106277657,
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      "contrast_uniformity": -0.10624165604140104,
      "minutiae_reliability": -0.09193729843246082
    },
    {
      "degradation": "occlusion",
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      "ridge_valley_clarity": 0.041452036300907526,
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      "noise_level": 0.18244956123903103,
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      "minutiae_reliability": 0.18316057901447538
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    {
      "degradation": "dry_skin",
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      "ridge_valley_clarity": -0.2747138678466962,
      "continuity": -0.5627480687017176,
      "noise_level": -0.5564674116852921,
      "contrast_uniformity": -0.6229925748143704,
      "minutiae_reliability": 0.3567449186229656
    },
    {
      "degradation": "wet_press",
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      "continuity": 0.3646606165154129,
      "noise_level": -0.15482037050926276,
      "contrast_uniformity": 0.20265056626415662,
      "minutiae_reliability": 0.5648841221030526
    }
  ]
}