{"id":"W4221030102","doi":"10.1007/s11869-022-01182-3","title":"Urban ambient air pollution and substance use disorder","year":2022,"lang":"en","type":"article","venue":"Air Quality Atmosphere & Health","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Poisson regression; Air pollution; Environmental health; Nitrogen dioxide; Pollutant; Air pollutants; Medicine; Ozone; Emergency department; Confidence interval; Distributed lag; Demography; Names of the days of the week; Toxicology; Environmental science; Geography; Meteorology; Population; Internal medicine; Statistics; Mathematics; Psychiatry; Biology; 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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002614246,0.0002581686,0.0004055331,0.000006088652,0.001766452,0.00002651557,0.0002569613,0.00007887968,0.0018028],"category_scores_gemma":[0.00009194587,0.0002731339,0.00007601913,0.0005197994,0.0002828076,0.0005206442,0.0003027691,0.0005223685,0.0001151522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001365571,"about_ca_system_score_gemma":0.0001739348,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05425788,"about_ca_topic_score_gemma":0.01759756,"domain_scores_codex":[0.9954618,0.001339624,0.0007651726,0.0006757148,0.0008360716,0.0009215943],"domain_scores_gemma":[0.9981838,0.0001673065,0.0004091595,0.0005732371,0.00001162808,0.0006548412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003978305,0.001106819,0.6177557,0.0003489097,0.00002640785,0.00001058444,0.02139564,0.01561506,0.00003191952,0.0153853,0.2794138,0.04851204],"study_design_scores_gemma":[0.000544076,0.0003892161,0.6621458,0.00001344684,0.000004079154,0.000008376627,0.001686044,0.0006623305,0.000004867768,0.0006813821,0.3336041,0.0002562869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9297172,0.0007501462,0.001678084,0.06610136,0.000260516,0.0007413927,0.0001196785,0.0001660202,0.000465595],"genre_scores_gemma":[0.916685,0.0001848485,0.002578035,0.07881708,0.00004930429,0.00006580903,0.00003636834,0.0000302609,0.00155332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05419031,"threshold_uncertainty_score":0.9999721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04351452975083357,"score_gpt":0.3125044908608208,"score_spread":0.2689899611099872,"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."}}