{"id":"W3015994813","doi":"10.1101/2020.04.05.20054361","title":"Population-level COVID-19 mortality risk for non-elderly individuals overall and for non-elderly individuals without underlying diseases in pandemic epicenters","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Svenska Läkaresällskapet; Uppsala Universitet; Laura and John Arnold Foundation","keywords":"Pandemic; Demography; Coronavirus disease 2019 (COVID-19); Population; Medicine; Geography; European population; Relative risk; Gerontology; Confidence interval; Disease; Sociology","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":[0.0009202513,0.0002762841,0.0003730836,0.001098367,0.0001617405,0.0004731347,0.0003290451,0.0003692142,0.002180963],"category_scores_gemma":[0.002207206,0.0001842717,0.001068008,0.000810031,0.0001009844,0.0004561863,0.000710323,0.0004860617,0.0003008928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002617582,"about_ca_system_score_gemma":0.0002613884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008546447,"about_ca_topic_score_gemma":0.009751835,"domain_scores_codex":[0.9995353,0.0001216273,0.0000558233,0.0001472528,0.00006151359,0.00007857339],"domain_scores_gemma":[0.9987959,0.0001773552,0.0005801227,0.00009390568,0.0001801316,0.0001725702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002740481,0.0000129045,0.9965478,0.00003697649,0.0002393429,0.00003850683,0.00003494656,0.0003972558,0.00007388127,0.00005091707,0.0006105758,0.001682924],"study_design_scores_gemma":[0.00001237448,0.00007202058,0.9986557,0.00001559039,0.00005948244,0.00008671233,0.00009800807,0.0005242412,0.00003196952,0.00005282537,0.0003851363,0.000006020497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769809,0.0009144143,0.000586769,0.0001209788,0.00002907021,0.00002972658,0.01918782,0.00002350427,0.002126795],"genre_scores_gemma":[0.9902924,0.000213407,0.0001943059,0.000045016,0.00002447016,0.00003324011,0.008634152,0.000004422886,0.0005587926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008546447,"threshold_uncertainty_score":0.0169934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2354797477142459,"score_gpt":0.4551638363788544,"score_spread":0.2196840886646086,"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."}}