{"id":"W4405716072","doi":"10.20944/preprints202412.1614.v1","title":"Urban Air and Health Outcomes in Toronto, Canada","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pollutant; Air pollutants; Air pollution; Air quality index; Environmental science; Criteria air contaminants; Environmental health; Ozone; Human health; Geography; Meteorology; Medicine; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005259096,0.0003743612,0.0003579591,0.001300196,0.001686888,0.001070751,0.0005709382,0.0002267139,0.006922603],"category_scores_gemma":[0.001940815,0.0001630139,0.0004461025,0.004886076,0.0004171279,0.0002979119,0.0008769621,0.0005109169,0.0003559451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03186021,"about_ca_system_score_gemma":0.03945358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975849,"about_ca_topic_score_gemma":0.9981847,"domain_scores_codex":[0.9994175,0.00006499637,0.00003434203,0.00008551413,0.0002366233,0.0001610175],"domain_scores_gemma":[0.9984617,0.00009428663,0.0002532397,0.00004788369,0.0007415402,0.0004013395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002179275,0.00005945531,0.9407696,0.0003033442,0.0002538811,0.000251404,0.001810963,0.001947094,0.0002755624,0.002716313,0.02989225,0.02150223],"study_design_scores_gemma":[0.00001109977,0.00001882428,0.9924172,0.00006739234,0.00004735403,0.0000327196,0.0009252201,0.0005630828,0.00005379087,0.0001695501,0.005681303,0.00001240475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8244267,0.0105118,0.001183088,0.004654041,0.0002147892,0.0002166421,0.1273233,0.0001600082,0.03130958],"genre_scores_gemma":[0.9711648,0.003118434,0.0006568998,0.000181543,0.00003555366,0.0000669273,0.01657858,0.00002268406,0.008174595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03186021,"threshold_uncertainty_score":0.2311631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1393594093884148,"score_gpt":0.3972938972708975,"score_spread":0.2579344878824827,"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."}}