1{2 "task_id": "F6-conf-04",3 "feasibility": "complete",4 "feasibility_reason": null,5 "data_issues": [6 {7 "issue": "12 rows have negative training_hours (min -7.585); impossible values",8 "handling": "excluded from main analysis (exclusion step 3); sensitivity analyses keep them as-is and censor them to 0 (out/sensitivity.csv)"9 }10 ],11 "n_input_rows": {12 "firms.csv": 120013 },14 "n_analysed": 1188,15 "random_seed": null,16 "naive_estimate": -0.13169790632300882,17 "naive_ci_low": -0.1603518326928757,18 "naive_ci_high": -0.10304397995314195,19 "naive_se": 0.014619618827634278,20 "baseline_metric": 3.8601022336733584,21 "model_metric": 1.9758571828823268,22 "effect_estimate": 0.25353820594501253,23 "effect_se": 0.009812212326345536,24 "effect_ci_low": 0.2343066231767153,25 "effect_ci_high": 0.27276978871330976,26 "skill_index_coefficient": -4.624620879345756,27 "skill_index_se": 0.07816357249116873,28 "se_type": "HC1 heteroskedasticity-robust; 95% CI = estimate +/- 1.96*SE (normal)",29 "corr_hours_skill": 0.6775720280598008,30 "sens_effect_all_rows": 0.25222449623309495,31 "sens_effect_censored0": 0.25417774688996747,32 "sens_effect_skill_sq": 0.25383792381516485,33 "sens_effect_skill_cubic": 0.2537770909378334,34 "sens_effect_conventional_se": 0.0098410870694658,35 "conclusion": "positive_effect"36}