{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003338856,0.0001774365,0.0001662841,0.0006054011,0.0002545592,0.0005637925,0.0001844619,0.0001998648,0.00330858],"category_scores_gemma":[0.001417122,0.000122328,0.0002343203,0.0008533713,0.0002241042,0.0001304475,0.0002986023,0.0002961315,0.0001384107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005444626,"about_ca_system_score_gemma":0.0005932506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09160268,"about_ca_topic_score_gemma":0.1092825,"domain_scores_codex":[0.9997836,0.00005973408,0.00001591764,0.0000315623,0.00006270182,0.00004646485],"domain_scores_gemma":[0.9982912,0.0004902896,0.0006601636,0.00005301722,0.0001953899,0.0003099356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002805713,0.00002091278,0.9990815,0.000007150848,0.00004904192,0.00001970139,0.00001364936,0.00005553475,0.00007505315,0.00001645224,0.00005212188,0.0005806273],"study_design_scores_gemma":[0.000001042029,0.00001119196,0.9997055,0.00000396212,0.000009888969,0.00002107678,0.00002615925,0.0001185939,0.00001381669,0.000009883849,0.00007806173,6.786358e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969861,0.001081382,0.00007041206,0.0001449122,0.00001042857,0.000006377044,0.0007310776,0.000005233306,0.0009639657],"genre_scores_gemma":[0.9989766,0.0003119047,0.00004277182,0.00001818556,0.00001269719,0.00000231233,0.0002805522,0.000001148308,0.0003537858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09160268,"threshold_uncertainty_score":0.182139,"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."}}