{"id":"W3038264176","doi":"10.14745/ccdr.v46i78a03","title":"COVID-19 and the increasing need for sex-disaggregated mortality data in Canada and worldwide","year":2020,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Virology; Geography; Demography; Medicine; Outbreak; Sociology; Internal medicine; Infectious disease (medical specialty); Disease","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":[0.006720481,0.0004463436,0.0007688013,0.006529106,0.002892707,0.002875422,0.00231305,0.0007527579,0.005055748],"category_scores_gemma":[0.02326169,0.0003321746,0.0007935015,0.01468739,0.00130099,0.001222129,0.00256714,0.002205788,0.0004523409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04690279,"about_ca_system_score_gemma":0.1339556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934369,"about_ca_topic_score_gemma":0.9958338,"domain_scores_codex":[0.9925694,0.001196822,0.0005680877,0.0006669958,0.003588908,0.001409854],"domain_scores_gemma":[0.9681184,0.004937883,0.003065875,0.00180959,0.01678733,0.005280945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003073651,0.00008514486,0.4831813,0.001676186,0.0004010198,0.0003166209,0.002898193,0.002627074,0.0008938516,0.01919762,0.2716546,0.216761],"study_design_scores_gemma":[0.00004740489,0.00005038545,0.7441171,0.002610583,0.0001069878,0.0002049125,0.006170829,0.002844346,0.0006952877,0.007230845,0.2357531,0.0001683142],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.3132338,0.03620927,0.009999932,0.243776,0.002785428,0.0007355191,0.3320191,0.001021921,0.06021905],"genre_scores_gemma":[0.772718,0.02814791,0.0251919,0.03125745,0.0007598614,0.0007148469,0.1277665,0.0002267011,0.01321684],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04690279,"threshold_uncertainty_score":0.3403051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0902242222796746,"score_gpt":0.3566523531587987,"score_spread":0.2664281308791241,"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."}}