{"id":"W1997798311","doi":"10.1007/s00484-011-0449-y","title":"Climate change and future temperature-related mortality in 15 Canadian cities","year":2011,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":103,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Health Canada","funders":"Health Canada","keywords":"Climate change; Percentile; Distributed lag; Mean radiant temperature; Demography; Global warming; Geography; Mortality rate; Environmental science; Climatology; Ecology; Biology; Economics; Mathematics; Econometrics; Statistics","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":[0.0005730035,0.0004383401,0.0005403123,0.001614793,0.0040816,0.001471681,0.001889584,0.0009460854,0.002533489],"category_scores_gemma":[0.001742579,0.0005021766,0.001305272,0.004633402,0.0009835712,0.0005956284,0.00119609,0.001355969,0.0002408226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03517883,"about_ca_system_score_gemma":0.03062958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970083,"about_ca_topic_score_gemma":0.9985734,"domain_scores_codex":[0.9991747,0.00004864041,0.00004440258,0.0001145024,0.0001803297,0.0004374507],"domain_scores_gemma":[0.9983316,0.00008200217,0.0003044528,0.00006296151,0.0007377698,0.0004812182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008587218,0.0000299168,0.9962613,0.00001526726,0.00006692345,0.00004493011,0.0004368821,0.0003962584,0.00005906819,0.00008008085,0.0009460532,0.001577312],"study_design_scores_gemma":[0.000005856893,0.00001022379,0.9980358,0.00001133912,0.00002307459,0.00002185219,0.0008536024,0.000354659,0.00002244181,0.0000221087,0.0006269863,0.00001191804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926223,0.000621849,0.00007637403,0.0005036804,0.00002327857,0.00001817129,0.004724587,0.00001104131,0.001398621],"genre_scores_gemma":[0.9967209,0.0003444813,0.00006754236,0.00006873016,0.00001020762,0.00001078272,0.00192306,0.000004073806,0.0008502758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03517883,"threshold_uncertainty_score":0.2552415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06370364377557244,"score_gpt":0.3019895799173665,"score_spread":0.238285936141794,"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."}}