{"id":"W4391893752","doi":"10.1029/2023gh000895","title":"Reflections on a Century of Extreme Heat Event‐Related Mortality Reporting in Canada","year":2024,"lang":"en","type":"article","venue":"GeoHealth","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Health Canada; University of British Columbia Hospital","funders":"","keywords":"Vulnerability (computing); Psychological intervention; Geography; Extreme heat; Social vulnerability; Population; Climate change; Medicine; Demography; Environmental health; Sociology; Computer science; Ecology; Nursing; Computer security; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007230692,0.00008797751,0.0001760087,0.00005257284,0.00007545717,0.000006628905,0.00006104309,0.00004125355,0.001133773],"category_scores_gemma":[0.0001051079,0.00008045565,0.00003124127,0.0004749067,0.00002184825,0.0000658515,0.00003980102,0.000225542,0.00004411555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00195837,"about_ca_system_score_gemma":0.0004900632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9609025,"about_ca_topic_score_gemma":0.9762264,"domain_scores_codex":[0.9981903,0.00005301659,0.0008101842,0.0002522876,0.0002816405,0.0004125411],"domain_scores_gemma":[0.9993872,0.00005318311,0.0001746573,0.0002054074,0.000004074771,0.0001754771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004977833,0.000267748,0.9279619,0.001046271,0.0000234638,0.0005427354,0.006885448,0.006333599,0.002828281,0.0006006316,0.01986543,0.03359466],"study_design_scores_gemma":[0.0001468868,0.00009716763,0.9893416,0.0003596614,0.00000767165,0.00002536681,0.0005914904,0.002241225,0.0001192948,0.0006769557,0.006268985,0.0001237326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841136,0.0003306137,0.000002880315,0.002191955,0.0005177458,0.0002186615,0.00002447203,0.00002880209,0.01257131],"genre_scores_gemma":[0.9987776,0.0003471917,0.00002181074,0.0006932726,0.00002780356,0.000009395966,0.00001491625,0.0000100515,0.00009791442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06137961,"threshold_uncertainty_score":0.9997793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.181044360804303,"score_gpt":0.4114034864000944,"score_spread":0.2303591255957914,"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."}}