{"id":"W3092282932","doi":"10.1093/geront/gnaa152","title":"National Profiles of Coronavirus Disease 2019 Mortality Risks by Age Structure and Preexisting Health Conditions","year":2020,"lang":"en","type":"article","venue":"The Gerontologist","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Aging; Social Sciences and Humanities Research Council of Canada; Government of Canada; National Institute of Child Health and Human Development; Canadian Institutes of Health Research; Pennsylvania State University; University of Pennsylvania","keywords":"Coronavirus disease 2019 (COVID-19); Coronavirus; Disease; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Environmental health; Pandemic; Medicine; Virology; Outbreak; Infectious disease (medical specialty); Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00191387,0.0001803307,0.0002210673,0.001131167,0.0002679558,0.0004942981,0.0003114114,0.0002687999,0.001470358],"category_scores_gemma":[0.006309531,0.0001460999,0.0006126723,0.001030093,0.0002595687,0.0006712602,0.001393703,0.0003467478,0.0002210329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004226038,"about_ca_system_score_gemma":0.0004824382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006996997,"about_ca_topic_score_gemma":0.009943547,"domain_scores_codex":[0.9991707,0.0002386723,0.0001288817,0.0002174407,0.0001011562,0.0001431915],"domain_scores_gemma":[0.9945415,0.000805739,0.002920481,0.00058588,0.0007094268,0.0004370699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001933189,0.000005207526,0.9984331,0.000006198344,0.00002870248,0.000007695277,0.00008344112,0.0001151849,0.00003749454,0.00006579594,0.0001095166,0.001088308],"study_design_scores_gemma":[7.404221e-7,0.00001620319,0.9993991,0.000007487647,0.000007852765,0.00003129762,0.0001534865,0.0001958315,0.00002607453,0.00005586719,0.0001037637,0.000002414446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961923,0.000161119,0.0004454471,0.000116554,0.000004488184,0.00001406243,0.002047215,0.000008366276,0.001010424],"genre_scores_gemma":[0.9972441,0.00007558589,0.0002404955,0.00001958095,0.000004616291,0.0000127369,0.002288195,0.000001936392,0.0001127093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006996997,"threshold_uncertainty_score":0.0139125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3113104013557124,"score_gpt":0.4925829769291183,"score_spread":0.1812725755734059,"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."}}