{
  "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": null,
  "attempt": 1,
  "epoch": 1,
  "gold": {
    "effect": 0.055,
    "effect_as_stored": "0.055",
    "is_significant": 0,
    "source_id": "causcibench_real.gold.q132",
    "std_error": 0.032,
    "std_error_as_stored": "0.032"
  },
  "label": null,
  "native_id": 132,
  "precision_limited": false,
  "record": {
    "dataset_path": "data/csv_files/realdata/deuchert_direct.csv",
    "effect": 0.055,
    "method": "did",
    "name": "Direct and indirect effects based on difference-in-differences with an application to political preferences following the Vietnam draft lottery",
    "query": "What is the effect of being drafted among those who never serve in the military independently of the draft lottery, not explained by serving in the military, with respect to holding mild republican views?",
    "result": {
      "final_result": {
        "causal_effect": null,
        "covariates": null,
        "method": null,
        "outcome_variable": null,
        "standard_deviation": null,
        "treatment_variable": null
      },
      "retries": null
    }
  },
  "scores": {
    "control_overlap": null,
    "effect_correct": null,
    "method_correct": null,
    "outcome_match": null,
    "relative_error_pct": null,
    "treatment_match": null
  },
  "status": "skipped",
  "task_id": "causcibench_real.q132"
}