{"id":"W4403070231","doi":"10.20944/preprints202409.2342.v1","title":"Cause-Related Mortality in Canada by Income Quintile: Examining the Impact of Multiple Causes before and after the COVID-19 Pandemic","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Influenza pandemic; Geography; Medicine; Virology; Outbreak; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"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":[0.00119636,0.0005526688,0.000556582,0.0032815,0.002240663,0.001362904,0.001350247,0.0004720993,0.002153009],"category_scores_gemma":[0.004592943,0.0002397822,0.001475859,0.006439033,0.000646033,0.000759798,0.002085968,0.001293412,0.0001937755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02591704,"about_ca_system_score_gemma":0.03652388,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937802,"about_ca_topic_score_gemma":0.9958851,"domain_scores_codex":[0.9984688,0.0001099552,0.00006280937,0.0001515584,0.0005231153,0.0006836863],"domain_scores_gemma":[0.9972156,0.0001747761,0.000492152,0.00009200702,0.001344501,0.0006808667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000102174,0.00002285526,0.988767,0.00005226664,0.0001415995,0.0001042936,0.0005041623,0.0006600891,0.00008335013,0.000385679,0.001977125,0.007199498],"study_design_scores_gemma":[0.000002400569,0.0000150722,0.9976676,0.00002289085,0.00002809805,0.00002550707,0.0007340749,0.0006071336,0.00003196318,0.00003917006,0.0008174945,0.000008608328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707822,0.001797753,0.0003845523,0.00130366,0.00004789614,0.00007458735,0.02039541,0.00003170754,0.00518218],"genre_scores_gemma":[0.9910205,0.0008580403,0.0003929719,0.0001351172,0.00001529047,0.00002574229,0.00645548,0.00001384284,0.001083024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02591704,"threshold_uncertainty_score":0.1880422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2080967872671706,"score_gpt":0.4866283701553343,"score_spread":0.2785315828881637,"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."}}