{"id":"W3002298322","doi":"10.1162/rest_a_00904","title":"Environmental Regulations and the Cleanup of Manufacturing: Plant-Level Evidence","year":2020,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Western University","funders":"","keywords":"Air quality index; Quality (philosophy); Falling (accident); Environmental science; Air pollution; Environmental quality; Natural resource economics; Pollution; Business; Environmental engineering; Environmental economics; Economics; Meteorology; Geography; Environmental health; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006608113,0.0001328635,0.0005480683,0.00002282562,0.00007658023,0.00001779525,0.0002275861,0.00003253979,0.0001524263],"category_scores_gemma":[0.0001231258,0.0001035107,0.00006460902,0.00001963878,0.0004496719,0.00008917865,0.0001487048,0.00008891964,0.00001906438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002550018,"about_ca_system_score_gemma":0.000008421264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003828189,"about_ca_topic_score_gemma":0.000005953006,"domain_scores_codex":[0.9987531,0.00003455747,0.0008314986,0.0002436857,0.00001640587,0.0001207068],"domain_scores_gemma":[0.9984249,0.0004349923,0.0007709897,0.0003033126,0.000002764678,0.00006304816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003835483,0.00001905566,0.001724586,0.00109645,0.0001158992,3.047445e-7,0.000345544,0.0003623867,0.000003299042,0.9881098,0.0009675016,0.007216805],"study_design_scores_gemma":[0.005757409,0.0005812586,0.2693781,0.002599155,0.0006254365,0.00006872869,0.0007491207,0.09043834,0.001373963,0.4295295,0.1971351,0.001763953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6104854,0.3388515,0.01113822,0.02026381,0.0002668386,0.001727554,0.01302987,0.0000147141,0.004222099],"genre_scores_gemma":[0.5585237,0.4385728,0.001973287,0.0008113332,0.00002761635,0.000009055313,0.0000194047,0.00001257341,0.0000502385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5585803,"threshold_uncertainty_score":0.4221044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06168625666907696,"score_gpt":0.2173915056957038,"score_spread":0.1557052490266268,"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."}}