{"id":"W3020177603","doi":"10.1101/2020.04.17.20069161","title":"Mortality from COVID-19 in 12 countries and 6 states of the United States","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Government of Canada; Health Canada; Centre for Global Health Research; University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"Coronavirus disease 2019 (COVID-19); Demography; China; Geography; Mortality rate; Population; Medicine; Socioeconomics; Economics; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001641349,0.0006210435,0.0003501995,0.00126641,0.0003750934,0.0007117589,0.0005331198,0.0004416135,0.001944797],"category_scores_gemma":[0.002734819,0.0002788603,0.0007883447,0.002282985,0.0002763949,0.0007129503,0.001523326,0.0007075091,0.0003574244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008900432,"about_ca_system_score_gemma":0.001241355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03850786,"about_ca_topic_score_gemma":0.03618363,"domain_scores_codex":[0.9990208,0.0004554174,0.00008211922,0.0001568607,0.0001267371,0.0001580717],"domain_scores_gemma":[0.9987859,0.0001703138,0.0004857312,0.0000873006,0.0002577201,0.0002129055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001523729,0.00003942988,0.9810941,0.00006669488,0.0002220326,0.00006069912,0.0001249865,0.003059674,0.00003990125,0.0003471761,0.008431016,0.006361919],"study_design_scores_gemma":[0.00006196032,0.0001918891,0.9854782,0.0001782444,0.0001061975,0.0001378415,0.0009960387,0.004653972,0.0001842584,0.000587029,0.007395083,0.00002921196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9039435,0.002216315,0.002113667,0.001274233,0.0001138395,0.0001626764,0.08337577,0.00009528043,0.006704714],"genre_scores_gemma":[0.9526216,0.001036072,0.001369282,0.0002147759,0.00005927994,0.0003271487,0.04316838,0.00001608799,0.001187349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03850786,"threshold_uncertainty_score":0.07656747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.128956727158278,"score_gpt":0.4075241036640327,"score_spread":0.2785673765057547,"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."}}