{"id":"W3137634942","doi":"10.2139/ssrn.3792958","title":"Mortality Predictors for 221,414 COVID-19 Cases: The Role of Socio-Demographic Factors, Symptoms, and Comorbidities in a Brazilian State-Wide Landscape","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Comorbidity; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Demography; Medicine; Psychiatry; Virology; Disease; Internal medicine; Outbreak; Sociology; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006888549,0.0003278392,0.0004272022,0.001160811,0.0007868378,0.0008717659,0.0006490122,0.0004543623,0.001767599],"category_scores_gemma":[0.002914163,0.0004007476,0.0006987646,0.001749122,0.0004337853,0.0004748665,0.0008352896,0.0006960757,0.0002192365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007755684,"about_ca_system_score_gemma":0.001157863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08611959,"about_ca_topic_score_gemma":0.1180818,"domain_scores_codex":[0.9994231,0.000122291,0.00006723721,0.0001271038,0.00008101326,0.0001792852],"domain_scores_gemma":[0.9986626,0.0002845055,0.0004673761,0.0001561862,0.0002076381,0.0002217409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001073013,0.0000101586,0.9990576,0.000004863306,0.0000108376,0.00003351249,0.00009076729,0.00001635145,0.00003129,0.00002690891,0.000112121,0.0005949668],"study_design_scores_gemma":[0.000001419372,0.00001557108,0.9981943,0.00001558143,0.00002056365,0.000133941,0.0009813829,0.0002336706,0.00002249485,0.00006916201,0.0003079611,0.000003986163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961069,0.0005606569,0.0001431697,0.0002893694,0.00001130673,0.00001115801,0.001847461,0.000006279841,0.001023727],"genre_scores_gemma":[0.998591,0.0002691119,0.0000527135,0.00002714165,0.00001009506,0.000005610555,0.0009239468,0.000003425355,0.000116916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08611959,"threshold_uncertainty_score":0.1712366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941151384627917,"score_gpt":0.2912311504192314,"score_spread":0.2718196365729522,"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."}}