{
  "schema_version": "v0.2",
  "benchmark_name": "Clarus Evaluation Trap Stability Manifold Benchmark",
  "version": "v0.2",
  "task_type": "binary_classification",
  "benchmark_type": "multi_surface_stability_eval_trap",
  "description": "Benchmark for testing whether models detect instability across competing stability surfaces rather than relying on content confidence alone.",
  "prediction_target": {
    "column": "label_stable",
    "meaning": "1 = stable, 0 = unstable"
  },
  "prediction_contract": {
    "required_prediction_columns": ["scenario_id", "prediction"],
    "prediction_allowed_values": [0, 1],
    "alignment_key": "scenario_id"
  },
  "stability_manifold": {
    "surface_definitions": {
      "baseline_surface": "S1 = buffer - (pressure * coupling) - (k * lag)",
      "coupling_surface": "S2 = buffer - (pressure * coupling^2) - (k * lag)",
      "lag_surface": "S3 = buffer - (pressure * coupling) - (k * lag^2)"
    },
    "collapse_margin": "min(S1, S2, S3)",
    "surface_role": "Analytical reference manifold used for scorer diagnostics and region classification"
  },
  "thresholds": {
    "k": 1.0,
    "boundary_eps": 0.02,
    "high_content_score_threshold": 0.9
  },
  "evaluation_slices": {
    "in_domain_test": {
      "purpose": "Baseline evaluation on familiar regime distribution"
    },
    "distribution_shift": {
      "purpose": "Tests generalization under shifted pressure, lag, and coupling ranges"
    },
    "boundary_trap": {
      "purpose": "Tests false rescue behaviour near the stability seam"
    }
  },
  "evaluation_metrics": {
    "primary_metric": "false_rescue_rate",
    "secondary_metric": "boundary_error_rate",
    "additional_metrics": [
      "accuracy",
      "surface_distance_mean"
    ]
  },
  "diagnostics": [
    "collapse_margin_distribution",
    "confusion_matrix",
    "active_surface_counts"
  ],
  "metric_linkage": {
    "false_rescue_rate": "Implemented in scorer.py as false rescues among high-confidence predicted stable cases",
    "boundary_error_rate": "Implemented in scorer.py for cases where |collapse_margin| <= boundary_eps",
    "surface_distance_mean": "Implemented in scorer.py as mean absolute collapse margin",
    "collapse_margin_distribution": "Implemented in scorer.py across collapse_zone, near_boundary, and safe_margin",
    "active_surface_counts": "Implemented in scorer.py by tracking which surface is minimum for each row"
  }
}