{"id":"W4280528405","doi":"10.1016/j.irfa.2022.102213","title":"Air pollution and executive incentive: Evidence from pay-performance sensitivity","year":2022,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Basic Research Program of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Incentive; Air pollution; Pollution; Air quality index; China; Business; Damages; Environmental economics; Economics; Natural resource economics; Microeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009167556,0.0001300147,0.0005584066,0.0002740421,0.0001105747,0.00001001075,0.0002281197,0.00003058202,0.0007654247],"category_scores_gemma":[0.0005217822,0.0001436965,0.0002047138,0.0006532282,0.00007436252,0.0003137116,0.0002765033,0.0001481408,0.0000372002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003351305,"about_ca_system_score_gemma":0.00003167786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220205,"about_ca_topic_score_gemma":0.0000722879,"domain_scores_codex":[0.9985533,0.00006246013,0.0006996606,0.0004442363,0.000106746,0.0001335915],"domain_scores_gemma":[0.9987963,0.00007279284,0.0007934946,0.0002418278,0.00005348526,0.00004209966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006521449,0.0002039804,0.9324427,0.0002765377,0.001107971,0.00001095266,0.000220881,0.005574527,0.0001257489,0.04172908,0.001756637,0.01648582],"study_design_scores_gemma":[0.000163104,0.00003687166,0.9591396,0.0002803707,0.0001483953,0.000001656491,0.00001134175,0.008930384,0.0001415131,0.001682656,0.02926034,0.0002037174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617757,0.02642712,0.004888916,0.002967583,0.0004437916,0.0001990992,0.001335167,0.00001351367,0.001949147],"genre_scores_gemma":[0.954304,0.04353123,0.0004179575,0.001195337,0.00006408267,0.00004271618,0.0001108517,0.000007587772,0.0003262639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04004643,"threshold_uncertainty_score":0.8380864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634679597005501,"score_gpt":0.2288179991291552,"score_spread":0.2124712031591002,"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."}}