{
  "run_id": "tfidf__support_routing__20261006T043722Z",
  "backend": "tfidf",
  "model_version": "tfidf-logreg sklearn-1.9.1 solver=saga C=1.0 ngram=(1, 2) min_df=2 max_features=30000",
  "suite_id": "support_routing",
  "suite_version": "1.0.0",
  "suite_title": "Support routing",
  "primitive": "choice",
  "protocol": "1.0.0",
  "split": "test",
  "limited": false,
  "limit": null,
  "prepare_ms": 2.9460309999649326,
  "latency_p50_ms": 0.3463624999540116,
  "latency_p95_ms": 0.40865710000161903,
  "latency_mean_ms": 0.35116466664122625,
  "batch_size": 1,
  "concurrency": 1,
  "cost_usd_total": 0.0,
  "cost_per_1k_usd": 0.0,
  "hardware": {
    "platform": "Linux-6.12.94+-x86_64-with-glibc2.39",
    "python": "3.12.3",
    "machine": "x86_64",
    "processor": "x86_64",
    "cpu_count": 4
  },
  "robustness_probes": {
    "order_reverse": {
      "n": 18,
      "invalid_pairs": 0,
      "flip_rate": 0.0,
      "probability_drift": 0.0,
      "attack_success_rate": null
    },
    "order_shuffle": {
      "n": 18,
      "invalid_pairs": 0,
      "flip_rate": 0.0,
      "probability_drift": 0.0,
      "attack_success_rate": null
    },
    "paraphrase": {
      "n": 18,
      "invalid_pairs": 0,
      "flip_rate": 0.0,
      "probability_drift": 0.0,
      "attack_success_rate": null
    },
    "irrelevant_context": {
      "n": 18,
      "invalid_pairs": 0,
      "flip_rate": 0.3333333333333333,
      "probability_drift": 0.03681218116322154,
      "attack_success_rate": null
    },
    "adversarial": {
      "n": 18,
      "invalid_pairs": 0,
      "flip_rate": 0.3888888888888889,
      "probability_drift": 0.03287309125313123,
      "attack_success_rate": 0.0
    }
  },
  "warnings": [
    "agent_gate: lowered min_df to 1 because the train split has 9 rows",
    "passage_relevance: lowered min_df to 1 because the train split has 8 rows",
    "support_routing: lowered min_df to 1 because the train split has 24 rows"
  ],
  "license": "CC0-1.0",
  "n": 18,
  "n_valid": 18,
  "schema_validity": 1.0,
  "accuracy": 0.2777777777777778,
  "accuracy_ci95": [
    0.05555555555555555,
    0.5
  ],
  "macro_f1": 0.28585858585858587,
  "macro_f1_ci95": [
    0.06245265151515151,
    0.46490079365079356
  ],
  "ece": 0.1108333750203972,
  "ece_ci95": [
    0.02761295476485023,
    0.34075662636960674
  ],
  "brier": 0.822265220098998,
  "brier_ci95": [
    0.8066586660639106,
    0.8391440447628884
  ],
  "brier_max": 2.0,
  "score_mae": null,
  "s1_score": 60.39045600700125,
  "s1_score_ci95": [
    51.025766230570724,
    65.65784200804303
  ],
  "components": {
    "accuracy": 0.2777777777777778,
    "macro_f1": 0.28585858585858587,
    "calibration": 0.8891666249796029,
    "brier_quality": 0.588867389950501,
    "quality": 0.4651017524809703,
    "schema_validity": 1.0,
    "robustness": 0.8555555555555556,
    "robustness_measured": true
  },
  "composite_id": "s1-v1",
  "reliability": [
    {
      "bin": 0,
      "low": 0.0,
      "high": 0.1,
      "count": 0,
      "confidence": null,
      "accuracy": null
    },
    {
      "bin": 1,
      "low": 0.1,
      "high": 0.2,
      "count": 12,
      "confidence": 0.18698708060242844,
      "accuracy": 0.3333333333333333
    },
    {
      "bin": 2,
      "low": 0.2,
      "high": 0.3,
      "count": 6,
      "confidence": 0.2064742862660485,
      "accuracy": 0.16666666666666666
    },
    {
      "bin": 3,
      "low": 0.3,
      "high": 0.4,
      "count": 0,
      "confidence": null,
      "accuracy": null
    },
    {
      "bin": 4,
      "low": 0.4,
      "high": 0.5,
      "count": 0,
      "confidence": null,
      "accuracy": null
    },
    {
      "bin": 5,
      "low": 0.5,
      "high": 0.6,
      "count": 0,
      "confidence": null,
      "accuracy": null
    },
    {
      "bin": 6,
      "low": 0.6,
      "high": 0.7,
      "count": 0,
      "confidence": null,
      "accuracy": null
    },
    {
      "bin": 7,
      "low": 0.7,
      "high": 0.8,
      "count": 0,
      "confidence": null,
      "accuracy": null
    },
    {
      "bin": 8,
      "low": 0.8,
      "high": 0.9,
      "count": 0,
      "confidence": null,
      "accuracy": null
    },
    {
      "bin": 9,
      "low": 0.9,
      "high": 1.0,
      "count": 0,
      "confidence": null,
      "accuracy": null
    }
  ],
  "selective": [
    {
      "threshold": 0.5,
      "n": 0,
      "coverage": 0.0,
      "risk": null
    },
    {
      "threshold": 0.6,
      "n": 0,
      "coverage": 0.0,
      "risk": null
    },
    {
      "threshold": 0.7,
      "n": 0,
      "coverage": 0.0,
      "risk": null
    },
    {
      "threshold": 0.8,
      "n": 0,
      "coverage": 0.0,
      "risk": null
    },
    {
      "threshold": 0.9,
      "n": 0,
      "coverage": 0.0,
      "risk": null
    },
    {
      "threshold": 0.95,
      "n": 0,
      "coverage": 0.0,
      "risk": null
    }
  ],
  "risk_coverage": [
    {
      "coverage": 0.1,
      "n": 2,
      "risk": 1.0
    },
    {
      "coverage": 0.2,
      "n": 4,
      "risk": 0.75
    },
    {
      "coverage": 0.3,
      "n": 5,
      "risk": 0.8
    },
    {
      "coverage": 0.4,
      "n": 7,
      "risk": 0.8571428571428572
    },
    {
      "coverage": 0.5,
      "n": 9,
      "risk": 0.7777777777777778
    },
    {
      "coverage": 0.6,
      "n": 11,
      "risk": 0.8181818181818181
    },
    {
      "coverage": 0.7,
      "n": 13,
      "risk": 0.7692307692307692
    },
    {
      "coverage": 0.8,
      "n": 14,
      "risk": 0.7857142857142857
    },
    {
      "coverage": 0.9,
      "n": 16,
      "risk": 0.6875
    },
    {
      "coverage": 1.0,
      "n": 18,
      "risk": 0.7222222222222222
    }
  ],
  "bootstrap": {
    "n": 1000,
    "seed": 20261006,
    "interval": "percentile 2.5/97.5"
  },
  "notes": {
    "s1_score_interval": "The interval resamples test items and keeps the robustness term fixed at its point estimate. It is not a bootstrap of the probe subset."
  }
}