{"id":"W1528851339","doi":"","title":"Corruption, Inequality, and Environmental Regulation","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Environmental regulation; Language change; Environmental quality; Inequality; Economics; Economic inequality; Environmental policy; Public economics; Environmental standard; Econometrics; Natural resource economics; Ecology; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00159873,0.0004791115,0.0008156617,0.0009077819,0.0007773293,0.00291011,0.0007566164,0.002188233,0.006435977],"category_scores_gemma":[0.005157377,0.0003110894,0.0007665093,0.001003398,0.001829397,0.002433112,0.001407881,0.001683879,0.0003855171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003038266,"about_ca_system_score_gemma":0.001340202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01068896,"about_ca_topic_score_gemma":0.007966572,"domain_scores_codex":[0.9988558,0.0005476423,0.00002441716,0.0001005813,0.0001155191,0.0003560261],"domain_scores_gemma":[0.9931707,0.003985278,0.001950983,0.00030329,0.0002790933,0.0003106511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001263433,0.0004335258,0.01998636,0.00009224813,0.0001029662,0.0001921876,0.0003037979,0.2008239,0.0003125477,0.7613874,0.003510178,0.0127286],"study_design_scores_gemma":[0.0001026468,0.0001263187,0.009263718,0.00007535573,0.00007080832,0.00009339365,0.0002706647,0.3658583,0.0003617655,0.6186512,0.005078786,0.00004705901],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7194975,0.004093142,0.1437925,0.02694434,0.0001965021,0.0001281507,0.0009485648,0.0001618699,0.1042374],"genre_scores_gemma":[0.9925844,0.0008672038,0.002065137,0.0002417319,0.00007303865,0.00004203627,0.00009093571,0.000008571078,0.004026882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01068896,"threshold_uncertainty_score":0.0220443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04837938291936341,"score_gpt":0.2815059627283904,"score_spread":0.233126579809027,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}