{"id":"W4293800183","doi":"10.2139/ssrn.4198085","title":"Burden Disease of COVID-19: Disability-Adjusted Life Years (DALYS) in Bogotá","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Aging, Health, and Disability","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Burden of disease; Quality-adjusted life year; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Disability-adjusted life year; Medicine; Disease burden; Disease; Geography; Virology; Cost effectiveness; Outbreak; 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":[0.0003965468,0.0003323323,0.0005192868,0.001092762,0.0003295461,0.0006516041,0.0003380715,0.0003336167,0.001733152],"category_scores_gemma":[0.0008871965,0.0002294949,0.0006542379,0.000983299,0.0001931682,0.0003247302,0.001002109,0.0006255455,0.0002121033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001365042,"about_ca_system_score_gemma":0.001522627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.20458,"about_ca_topic_score_gemma":0.249257,"domain_scores_codex":[0.9996941,0.00008250838,0.00005159605,0.00003422222,0.00002541589,0.0001122289],"domain_scores_gemma":[0.9997926,0.00002596643,0.00005932648,0.00001183949,0.00003544972,0.00007481324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007578144,0.0001332985,0.9634591,0.0005912819,0.0006400151,0.0005510355,0.000704937,0.001066523,0.0009260471,0.001434475,0.01054992,0.01918552],"study_design_scores_gemma":[0.00002442731,0.00004188895,0.993189,0.000153257,0.0001220425,0.0002573749,0.0007421461,0.0005172873,0.00007200219,0.0002208859,0.00464442,0.00001545712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9505498,0.004357316,0.0004905436,0.00108564,0.0002000651,0.00006141413,0.0386855,0.0000785749,0.00449097],"genre_scores_gemma":[0.9882804,0.001055367,0.0002888684,0.0001777556,0.00002147583,0.00007125501,0.00889074,0.00001459668,0.001199562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.20458,"threshold_uncertainty_score":0.4067785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927786707460485,"score_gpt":0.311057500121852,"score_spread":0.2917796330472472,"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."}}