{"id":"W2082467158","doi":"10.1016/j.envres.2009.03.004","title":"Social disadvantage, air pollution, and asthma physician visits in Toronto, Canada","year":2009,"lang":"en","type":"article","venue":"Environmental Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; St. Michael's Hospital; Public Health Ontario; University of Toronto","funders":"University of Toronto; Ontario Ministry of Health and Long-Term Care","keywords":"Environmental health; Asthma; Medicine; Air pollution; Socioeconomic status; Interquartile range; Population; Public health; Psychological intervention; Air quality index; Demography; Gerontology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006281668,0.0001285042,0.0001450356,0.00002279312,0.0004606655,0.00001791439,0.0001798289,0.00006840982,0.001075482],"category_scores_gemma":[0.00002615068,0.0001308794,0.00001925683,0.0001343092,0.0002456797,0.0003634805,0.0001789291,0.0003126438,0.0001100804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003723305,"about_ca_system_score_gemma":0.00005558719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3769989,"about_ca_topic_score_gemma":0.6893671,"domain_scores_codex":[0.9975932,0.0002272158,0.0002009953,0.0003508127,0.0008973849,0.0007304427],"domain_scores_gemma":[0.9994882,0.00005065099,0.00003264687,0.0001536073,0.000001139594,0.0002738048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002977452,0.001131737,0.0996692,0.00003171508,0.00001122731,0.0001300718,0.005013018,0.0002802373,0.009662484,0.001780367,0.04826285,0.8337293],"study_design_scores_gemma":[0.000344724,0.0001509311,0.9657204,0.000006941503,7.408102e-7,0.000002445917,0.001394274,0.0001342552,0.0002870522,0.00122083,0.03059857,0.0001387963],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691777,0.0001896545,0.000009691504,0.01287784,0.00002499556,0.0002993202,0.00002524483,0.00001031455,0.01738524],"genre_scores_gemma":[0.9936504,0.0001201669,0.00007617122,0.005228257,0.00007958159,0.000007815998,0.00001158212,0.000009621084,0.0008163502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8660513,"threshold_uncertainty_score":0.9998377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02959882889338752,"score_gpt":0.3713188179150542,"score_spread":0.3417199890216667,"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."}}