{
  "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_12e2f1d8:coef.right",
  "attempt": 1,
  "epoch": 1,
  "gold": {
    "effect": 0.076,
    "effect_as_stored": "0.076",
    "is_significant": 1,
    "source_id": "causcibench_real.gold.q010",
    "std_error": 0.011,
    "std_error_as_stored": "0.011"
  },
  "label": {
    "family": "ols",
    "method": "ols",
    "rule": "regression",
    "tool_id": "infer.ols"
  },
  "native_id": 10,
  "precision_limited": false,
  "record": {
    "dataset_path": "data/csv_files/realdata/lee_randomized_experiments.csv",
    "effect": 0.076,
    "method": "rdd",
    "name": "Randomized experiments from non-random selection in U.S. House elections",
    "query": "Does winning an election in a given period influence the party's subsequent electoral success?",
    "result": {
      "final_result": {
        "causal_effect": 0.11423703639468429,
        "covariates": [
          "difdemshare",
          "demofficeexp",
          "demelectexp",
          "othofficeexp",
          "othelectexp"
        ],
        "method": "ols",
        "outcome_variable": "demsharenext",
        "standard_deviation": 0.005542081258111553,
        "treatment_variable": "right"
      },
      "retries": null
    }
  },
  "scores": {
    "control_overlap": 1.0,
    "effect_correct": 0,
    "method_correct": 0,
    "outcome_match": 1,
    "relative_error_pct": 50.31188999300564,
    "treatment_match": null
  },
  "status": "failed",
  "task_id": "causcibench_real.q010"
}