{"id":"W2783715087","doi":"10.3386/w24183","title":"Subways and Urban Air Pollution","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Department for International Development; Connaught Fund; World Bank Group","keywords":"Air pollution; Pollution; Environmental planning; Business; Environmental science; Environmental health; Medicine; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002967502,0.0002580886,0.0002276521,0.0008069744,0.0002618481,0.0008923069,0.0003058253,0.000433378,0.01175721],"category_scores_gemma":[0.001964117,0.00010388,0.0007908549,0.001994459,0.0003648493,0.0006209281,0.001137165,0.000460162,0.0007849617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008415234,"about_ca_system_score_gemma":0.0008888854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02246478,"about_ca_topic_score_gemma":0.03789483,"domain_scores_codex":[0.9993538,0.0002195131,0.0000265502,0.00006677866,0.0001509156,0.0001823341],"domain_scores_gemma":[0.9977059,0.0008123348,0.0008602722,0.0001364727,0.0002102096,0.0002747725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003756494,0.0004752341,0.9006426,0.0002695888,0.0005135846,0.0004044322,0.000397894,0.02868296,0.00108078,0.02526563,0.006113699,0.03577792],"study_design_scores_gemma":[0.00004059589,0.0005879602,0.9375196,0.00006741991,0.0002507281,0.0001431732,0.001258993,0.007490333,0.0009505225,0.009972463,0.04169125,0.0000269796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614795,0.003028648,0.001156547,0.001461093,0.00006068047,0.00003702244,0.00358475,0.00002917576,0.02916268],"genre_scores_gemma":[0.9901333,0.001633786,0.0003343335,0.0001093803,0.00005547441,0.00002590159,0.001088027,0.000007953381,0.006611822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02246478,"threshold_uncertainty_score":0.04466802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4467829039142336,"score_gpt":0.5386741696563988,"score_spread":0.09189126574216522,"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."}}