{
  "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_68e1c275:coef.ch",
  "attempt": 1,
  "epoch": 1,
  "gold": {
    "effect": 0.987,
    "effect_as_stored": "0.987",
    "is_significant": 0,
    "source_id": "causcibench_real.gold.q084",
    "std_error": 1.808,
    "std_error_as_stored": "1.808"
  },
  "label": {
    "family": "ols",
    "method": "ols",
    "rule": "regression",
    "tool_id": "infer.ols"
  },
  "native_id": 84,
  "precision_limited": false,
  "record": {
    "dataset_path": "data/csv_files/realdata/xu_does_mislabelling.csv",
    "effect": 0.987,
    "method": "ols",
    "name": "Does mislabeling covid-19 elicit the perception of threat and reduce blame?",
    "query": "Does labeling COVID-19 as the 'Chinese Virus' causally affect the level of blame the public assigns to the federal government?",
    "result": {
      "final_result": {
        "causal_effect": 0.9868697099037835,
        "covariates": [],
        "method": "ols",
        "outcome_variable": "blame",
        "standard_deviation": 1.8086183986590711,
        "treatment_variable": "ch"
      },
      "retries": null
    }
  },
  "scores": {
    "control_overlap": 1.0,
    "effect_correct": 1,
    "method_correct": 1,
    "outcome_match": 1,
    "relative_error_pct": 0.013200617651110089,
    "treatment_match": 1
  },
  "status": "passed",
  "task_id": "causcibench_real.q084"
}