{"id":"W4281821978","doi":"10.1503/cmaj.220337","title":"Excess mortality, COVID-19 and health care systems in Canada","year":2022,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Excess mortality; Demography; Mortality rate; Coronavirus Infections; Geography; Virology; Pathology; Outbreak; Disease; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001073621,0.0003183296,0.0004172479,0.00305767,0.005549864,0.00319462,0.001619035,0.0008415899,0.01045502],"category_scores_gemma":[0.006336973,0.0003526626,0.0007153227,0.009847103,0.001308497,0.001077924,0.00238738,0.002837133,0.0003937788],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1063205,"about_ca_system_score_gemma":0.1745719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9986451,"about_ca_topic_score_gemma":0.9994573,"domain_scores_codex":[0.9981054,0.0001166402,0.000132259,0.0001516244,0.0006472217,0.0008467163],"domain_scores_gemma":[0.9925408,0.0002679395,0.001032956,0.00009995556,0.00313456,0.002923918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002129584,0.0001354997,0.8249184,0.0005763998,0.0002600596,0.0003971123,0.001872697,0.0009494959,0.0001436954,0.0111155,0.1133896,0.04602866],"study_design_scores_gemma":[0.00003726337,0.00002568772,0.9738182,0.0008774397,0.00007968935,0.0001239993,0.00398469,0.0006071915,0.00005756479,0.0008481654,0.01948905,0.00005113858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6294159,0.05077463,0.0004900075,0.1452096,0.001326011,0.0002640437,0.0738945,0.0001591891,0.09846614],"genre_scores_gemma":[0.9633864,0.01624979,0.0007206486,0.005174364,0.000270134,0.00005384173,0.00854926,0.00003880205,0.005556802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8936795,"threshold_uncertainty_score":0.771413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05285037401684037,"score_gpt":0.3782310264727028,"score_spread":0.3253806524558625,"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."}}