{"id":"W2900146611","doi":"10.3368/le.95.2.157","title":"Pollution and Politician Productivity: The Effect of PM on MPs","year":2019,"lang":"en","type":"article","venue":"Land Economics","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Ottawa","funders":"","keywords":"Endogeneity; House of Commons; Parliament; Pollution; Productivity; Lead pollution; Quality (philosophy); Confounding; Particulates; Economics; Demographic economics; Econometrics; Statistics; Political science; Mathematics; Law; Economic growth; Chemistry; Politics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001995464,0.0002782813,0.0003174685,0.002728363,0.0009822733,0.002540646,0.0007181878,0.0004965746,0.01503873],"category_scores_gemma":[0.02132017,0.0001239971,0.0003561947,0.004918642,0.001283098,0.0005423266,0.001007293,0.0007477914,0.001186346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00554291,"about_ca_system_score_gemma":0.003712408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5501654,"about_ca_topic_score_gemma":0.5090391,"domain_scores_codex":[0.99782,0.0005198683,0.0001279897,0.0002903175,0.0007484334,0.0004934295],"domain_scores_gemma":[0.9769136,0.009799624,0.008412916,0.0005550949,0.002865707,0.001453149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000203433,0.0000506878,0.9768747,0.00009097208,0.0001180377,0.0001826313,0.002258414,0.0006895444,0.0003590312,0.001511517,0.003833688,0.01382728],"study_design_scores_gemma":[0.000005880989,0.00002339306,0.9930961,0.00001956477,0.00004070747,0.00002418801,0.002801043,0.0009540155,0.0001425388,0.0002488205,0.002637042,0.000006749426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707831,0.0006572496,0.0003723411,0.002131903,0.00004846386,0.0000463046,0.005041685,0.00002293342,0.02089597],"genre_scores_gemma":[0.9960361,0.0001768926,0.00009149541,0.00005188011,0.00003678774,0.00001154844,0.0009474418,0.000006267172,0.002641494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5501654,"threshold_uncertainty_score":0.9049676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196653525933561,"score_gpt":0.2375746568501745,"score_spread":0.2256081215908389,"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."}}