{"id":"W2146105966","doi":"10.1111/j.1541-0064.2006.00147.x","title":"Health hazards and socio‐economic status: a neighbourhood cohort approach, Vancouver, 1976–2001","year":2006,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"British Columbia Medical Services Foundation; Social Sciences and Humanities Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Neighbourhood (mathematics); Metropolitan area; Geography; Census; Cohort; Socioeconomic status; Population; Health geography; Environmental health; Socioeconomics; Regional science; Public health; Sociology; Medicine; Health education","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001689636,0.0002085227,0.0003373644,0.001808203,0.003027549,0.001158244,0.0009564603,0.0003917119,0.001107212],"category_scores_gemma":[0.004069573,0.0004522598,0.0003389796,0.004055164,0.0004700549,0.0004197661,0.001250726,0.000679542,0.0002479221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005910579,"about_ca_system_score_gemma":0.007392941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.949723,"about_ca_topic_score_gemma":0.9771548,"domain_scores_codex":[0.9993432,0.000147324,0.00003558751,0.0001243968,0.0001931938,0.000156167],"domain_scores_gemma":[0.9985029,0.0001584482,0.0001454898,0.0002808573,0.000610407,0.0003020101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001485788,0.00005677947,0.973996,0.00004582981,0.0001362184,0.0003272511,0.004942941,0.0006571429,0.0002230371,0.001116415,0.002044894,0.01630486],"study_design_scores_gemma":[0.00001197808,0.00005033393,0.9868281,0.00006010794,0.00007277315,0.0001855365,0.003977415,0.0007417016,0.00009434652,0.0002654752,0.007696555,0.00001578203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890845,0.001340941,0.0010358,0.0003170375,0.00003692323,0.0001169067,0.004839946,0.000009719004,0.003218189],"genre_scores_gemma":[0.9840187,0.001891424,0.001615204,0.00008395368,0.00001328348,0.0001772029,0.004448258,0.0000140148,0.007738023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05027699,"threshold_uncertainty_score":0.1011461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009383058062177409,"score_gpt":0.2161927757992682,"score_spread":0.2068097177370908,"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."}}