{"id":"W2999741517","doi":"","title":"Local Labor Market Effects of Environmental Regulations: Evidence from Canada Wide Standards","year":2019,"lang":"en","type":"article","venue":"2019 APPAM Fall Research Conference","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Business; Economics; Natural resource economics; Labour economics","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":[0.001688944,0.0001695774,0.0004196345,0.001223156,0.002704361,0.001945068,0.001087739,0.0007254916,0.008368479],"category_scores_gemma":[0.007566177,0.0002102103,0.0004885377,0.003899419,0.002092487,0.0005187216,0.0009843169,0.001079037,0.0004667088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03401052,"about_ca_system_score_gemma":0.04284704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944352,"about_ca_topic_score_gemma":0.9981202,"domain_scores_codex":[0.997733,0.0003018345,0.00006095529,0.0001998051,0.0009326947,0.0007717013],"domain_scores_gemma":[0.987519,0.002863715,0.002495509,0.0005153771,0.00472327,0.001883256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001094817,0.0009017967,0.9198135,0.000221714,0.0003642268,0.0002393595,0.003932993,0.004027133,0.0004906768,0.009925514,0.03011033,0.02887789],"study_design_scores_gemma":[0.0001072893,0.00008054118,0.9849648,0.00007754276,0.0001451744,0.00001032907,0.004440981,0.0006506432,0.0002288533,0.0005203885,0.008746328,0.00002728874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9555349,0.001485135,0.0001844858,0.005370748,0.00003083102,0.00007554736,0.004751073,0.00002284214,0.03254448],"genre_scores_gemma":[0.9886541,0.0009205804,0.00006460924,0.0005247082,0.00001623154,0.00001756043,0.001578397,0.000007255036,0.008216409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03401052,"threshold_uncertainty_score":0.2467648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06638578185834793,"score_gpt":0.2924658818561411,"score_spread":0.2260800999977932,"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."}}