{"id":"W6958846470","doi":"10.6084/m9.figshare.c.7241462.v1","title":"Bivariate extreme value analysis of extreme temperature and mortality in Canada, 2000-2020","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extreme weather; Extreme value theory; Bivariate analysis; Extreme Cold; Precipitation; Population; Climate extremes; Generalized extreme value distribution","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":[0.000351484,0.0001599546,0.0001797253,0.0007754043,0.0004389943,0.0005421708,0.0003368876,0.0001394856,0.001287556],"category_scores_gemma":[0.001577016,0.00007178267,0.0003472599,0.002118191,0.000270009,0.0001450071,0.0004368659,0.0003469323,0.0001195181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003533261,"about_ca_system_score_gemma":0.004665513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9430829,"about_ca_topic_score_gemma":0.9530975,"domain_scores_codex":[0.9997286,0.00002536303,0.00001409423,0.00005682304,0.0000980794,0.00007701696],"domain_scores_gemma":[0.9990869,0.00008193565,0.0001815135,0.00004156361,0.00045321,0.0001549943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004429579,0.000005079881,0.994762,0.00000890646,0.00004215896,0.00002601672,0.00005142426,0.001021882,0.0001099141,0.0001006964,0.0006892587,0.003138428],"study_design_scores_gemma":[7.054069e-7,0.000005781234,0.9977089,0.000004089162,0.00001061459,0.00001501971,0.0001276968,0.00157245,0.00004655991,0.00003367872,0.0004709432,0.000003371865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862795,0.0003032746,0.0007022972,0.0001470316,0.0000107614,0.000008027372,0.01102197,0.00003584816,0.001491337],"genre_scores_gemma":[0.9955665,0.00008776287,0.000222794,0.00001532963,0.000003239918,0.000003918477,0.003666531,0.000003042101,0.0004309444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05691713,"threshold_uncertainty_score":0.1145046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03909373197095276,"score_gpt":0.2732809049507705,"score_spread":0.2341871729798177,"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."}}