{"id":"W3202513722","doi":"10.1093/cid/ciab883","title":"Discrimination and Calibration of the Veterans Aging Cohort Study Index 2.0 for Predicting Mortality Among People With Human Immunodeficiency Virus in North America","year":2021,"lang":"en","type":"article","venue":"Clinical Infectious Diseases","topic":"HIV-related health complications and treatments","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; National Center for Research Resources; National Institute of Allergy and Infectious Diseases; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Institute of Mental Health; National Institute of Nursing Research; National Center for Advancing Translational Sciences; Health Resources and Services Administration; National Human Genome Research Institute; National Heart, Lung, and Blood Institute; National Institute on Alcohol Abuse and Alcoholism; National Eye Institute; National Institute on Aging; National Cancer Institute; National Institutes of Health; Agency for Healthcare Research and Quality; Canadian Institutes of Health Research; National Institute on Deafness and Other Communication Disorders; National Institute on Drug Abuse; National Institute on Minority Health and Health Disparities; National Institute of Dental and Craniofacial Research; Centers for Disease Control and Prevention","keywords":"Medicine; Cohort; Demography; Confidence interval; Cohort study; Statistic; Human immunodeficiency virus (HIV); Mortality rate; Ethnic group; Internal medicine; National Death Index; Gerontology; Statistics; Hazard ratio; Immunology","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":[0.04164516,0.00162868,0.0006567911,0.002797062,0.0005492281,0.002254571,0.001712349,0.001373641,0.001507508],"category_scores_gemma":[0.06396869,0.0006185695,0.002242412,0.001446287,0.000880733,0.001029978,0.00211199,0.001963089,0.0008505352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103018,"about_ca_system_score_gemma":0.001449222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01050691,"about_ca_topic_score_gemma":0.006378446,"domain_scores_codex":[0.9884856,0.008364537,0.0003506029,0.001427863,0.0008688312,0.000502663],"domain_scores_gemma":[0.9701486,0.0171658,0.003873301,0.004532136,0.0031237,0.001156546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007432276,0.00009423646,0.9758272,0.00002338809,0.0005638018,0.00002944401,0.0001950146,0.01235174,0.0001096289,0.0003946,0.001566452,0.008101301],"study_design_scores_gemma":[0.0001529795,0.000826673,0.7850478,0.0001645147,0.0004937359,0.0002165373,0.0004013551,0.2062154,0.0005853711,0.003366128,0.002447275,0.0000822097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793245,0.0009095502,0.01145904,0.0004712517,0.0001589515,0.0002187143,0.00303362,0.0002141854,0.004210013],"genre_scores_gemma":[0.9934209,0.0001397298,0.002665658,0.0001240414,0.00004120055,0.0001036017,0.003117014,0.00004391527,0.0003438772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04164516,"threshold_uncertainty_score":0.2202433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03147926454539524,"score_gpt":0.3755763645677269,"score_spread":0.3440971000223317,"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."}}