{"id":"W1605922667","doi":"10.1007/bf03405420","title":"Anatomy of Heat Waves and Mortality in Toronto","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health; Environment and Climate Change Canada; McMaster University","funders":"Health Canada","keywords":"Heat wave; Hot weather; Temperate climate; Public health; Excess mortality; Air quality index; Air pollution; Demography; Geography; Climatology; Medicine; Meteorology; Environmental science; Environmental health; Climate change; Population; Ecology","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":[0.0001784904,0.0002008609,0.0001110411,0.001825255,0.002027086,0.002288398,0.0004566963,0.0005096177,0.009050931],"category_scores_gemma":[0.001120898,0.0002198945,0.000257722,0.003364609,0.001860878,0.0006146643,0.001123508,0.0007085736,0.0003657753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02632652,"about_ca_system_score_gemma":0.01087964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9241961,"about_ca_topic_score_gemma":0.9577192,"domain_scores_codex":[0.9998061,0.00002825094,0.000009326163,0.00001825232,0.000058326,0.00007984309],"domain_scores_gemma":[0.9995828,0.00007770153,0.00008576849,0.00001741911,0.0001339135,0.0001023734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002492075,0.00004640956,0.2412164,0.0004347537,0.00009338778,0.003835885,0.04588137,0.008190303,0.003283677,0.51362,0.04209837,0.1410502],"study_design_scores_gemma":[0.00001493306,0.0000342637,0.7467299,0.000269171,0.00005855244,0.001081629,0.02728019,0.002375613,0.000441422,0.03143307,0.1902158,0.00006538603],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4263752,0.0264023,0.005835479,0.02807236,0.000418378,0.0001149975,0.006206556,0.0002157585,0.5063589],"genre_scores_gemma":[0.9596975,0.0102789,0.00120663,0.0001986424,0.0001163693,0.00002304078,0.0004796213,0.00002404331,0.02797522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07580394,"threshold_uncertainty_score":0.1910132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09240867019768867,"score_gpt":0.3758662581715523,"score_spread":0.2834575879738636,"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."}}