{
  "task_id": "F6-conf-04",
  "naive_estimate": -0.13169790632300882,
  "naive_ci_low": -0.1603518326928757,
  "naive_ci_high": -0.10304397995314195,
  "baseline_metric": 3.8601022336733584,
  "model_metric": 1.9758571828823268,
  "effect_estimate": 0.25353820594501253,
  "effect_se": 0.009812212326345536,
  "effect_ci_low": 0.2343066231767153,
  "effect_ci_high": 0.27276978871330976,
  "skill_index_coefficient": -4.624620879345756,
  "conclusion": "positive_effect",
  "feasibility": "complete",
  "feasibility_reason": null,
  "data_issues": [
    {
      "issue": "12 rows have negative training_hours (min -7.585), which is physically impossible (hours per employee >= 0).",
      "handling": "Excluded from the main estimates; sensitivity analysis re-estimates both models on all rows (results essentially unchanged)."
    }
  ],
  "n_input_rows": {
    "firms.csv": 1200
  },
  "n_analysed": 1188,
  "random_seed": null,
  "se_type": "HC1 heteroskedasticity-robust",
  "corr_skill_training": 0.677572028059802,
  "sensitivity_all_rows_effect_estimate": 0.25222449623309495,
  "sensitivity_all_rows_naive_estimate": -0.13518960504279864,
  "diag_flexible_training_coef": 0.2572203800870444,
  "diag_flexible_min_pvalue_nonlinear_terms": 0.4426277362366061
}