{"id":"W2066684918","doi":"10.1007/s11869-009-0027-1","title":"Differential and combined impacts of extreme temperatures and air pollution on human mortality in south–central Canada. Part I: historical analysis","year":2008,"lang":"en","type":"article","venue":"Air Quality Atmosphere & Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Impact; Toronto Public Health; McMaster University; Environment and Climate Change Canada","funders":"Health Canada","keywords":"Air pollution; Environmental science; Pollution; Ozone; Pollutant; Particulates; Nitrogen dioxide; Atmospheric sciences; Meteorology; Environmental health; Geography; Ecology; Medicine; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007761202,0.0002239376,0.0001933389,0.002980698,0.0008097031,0.000769803,0.0005179869,0.0001444108,0.0007873061],"category_scores_gemma":[0.001307544,0.0001854909,0.0003212738,0.00451759,0.0005757054,0.0003390858,0.0007000847,0.0003202845,0.00005352108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01009903,"about_ca_system_score_gemma":0.006724913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9644001,"about_ca_topic_score_gemma":0.981326,"domain_scores_codex":[0.9994844,0.00004187614,0.00004164174,0.0001188069,0.0002324721,0.0000808001],"domain_scores_gemma":[0.9987361,0.00009475728,0.0002361213,0.00006704454,0.0007439461,0.0001219905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002364983,0.000004180447,0.9859684,0.00005459983,0.00009940007,0.00007457612,0.0004214915,0.001348044,0.0002909014,0.0002958829,0.0006334927,0.01078533],"study_design_scores_gemma":[5.021843e-7,0.000003405373,0.998116,0.00001201208,0.00001634055,0.00002388454,0.0001645393,0.0005117998,0.00006994369,0.00002570046,0.001051561,0.000004296699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840947,0.003747972,0.001209504,0.0002846459,0.00002183656,0.00002332606,0.007137798,0.00002775715,0.003452542],"genre_scores_gemma":[0.9940549,0.001578176,0.0006217631,0.00003076702,0.00001687309,0.00001027763,0.002882078,0.000006163593,0.0007991656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03559989,"threshold_uncertainty_score":0.07327402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09353524137269294,"score_gpt":0.3290946904756481,"score_spread":0.2355594491029552,"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."}}