{
  "about": "CauSciBench native output: 'record' has the shape their evaluation/extract.py reads (a run's records in one list rescore with their evaluation/run_evaluation.py); the method is the tool-family label of the answer call (tool-family accuracy from tool calls, not a method the model named); 'scores' are the per-item terms of evaluation/metrics.py.",
  "answer_ref": "call_4b2e9e3f:effect",
  "attempt": 1,
  "epoch": 1,
  "gold": {
    "effect": -2.409,
    "effect_as_stored": "-2.409",
    "is_significant": 1,
    "source_id": "causcibench_real.gold.q088",
    "std_error": 1.206,
    "std_error_as_stored": "1.206"
  },
  "label": {
    "family": "rd",
    "method": "rdd",
    "rule": "regression discontinuity",
    "tool_id": "infer.rdd"
  },
  "native_id": 88,
  "precision_limited": false,
  "record": {
    "dataset_path": "data/csv_files/realdata/calonico_regression.csv",
    "effect": -2.409,
    "method": "rdd",
    "name": "Regression discontinuity designs using covariates",
    "query": "Did the Head Start program help reduce the child mortality rates?",
    "result": {
      "final_result": {
        "causal_effect": -2.391068713991865,
        "covariates": [],
        "method": "rdd",
        "outcome_variable": "mort_age59_related_postHS",
        "standard_deviation": 1.1329834192727755,
        "treatment_variable": "povrate60"
      },
      "retries": null
    }
  },
  "scores": {
    "control_overlap": 1.0,
    "effect_correct": 1,
    "method_correct": 1,
    "outcome_match": 1,
    "relative_error_pct": 0.744345620927143,
    "treatment_match": null
  },
  "status": "passed",
  "task_id": "causcibench_real.q088"
}