{
  "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_093e937c:coef.treat",
  "attempt": 1,
  "epoch": 1,
  "gold": {
    "effect": 1672.204,
    "effect_as_stored": "1672.204",
    "is_significant": 1,
    "source_id": "causcibench_real.gold.q005",
    "std_error": 638.397,
    "std_error_as_stored": "638.397"
  },
  "label": {
    "family": "ols",
    "method": "ols",
    "rule": "regression",
    "tool_id": "infer.ols"
  },
  "native_id": 5,
  "precision_limited": false,
  "record": {
    "dataset_path": "data/csv_files/realdata/dehejia_propensity_score.csv",
    "effect": 1672.204,
    "method": "ols",
    "name": "Propensity score matching for methods for non-experimental causal studies",
    "query": "What is the effect of the training program on job earnings for 1978?",
    "result": {
      "final_result": {
        "causal_effect": 1673.4848130406144,
        "covariates": [
          "age",
          "education",
          "black",
          "hispanic",
          "nodegree",
          "re74",
          "re75"
        ],
        "method": "ols",
        "outcome_variable": "re78",
        "standard_deviation": 674.7829621510485,
        "treatment_variable": "treat"
      },
      "retries": null
    }
  },
  "scores": {
    "control_overlap": 1.0,
    "effect_correct": 1,
    "method_correct": 1,
    "outcome_match": 1,
    "relative_error_pct": 0.07659430551622144,
    "treatment_match": 1
  },
  "status": "passed",
  "task_id": "causcibench_real.q005"
}