{"id":"W4411181559","doi":"10.23889/ijpds.v10i2.2926","title":"Development and Validation of a Mortality Risk Prediction Index Score for Adults Living with HIV and Multiple Chronic Comorbidities","year":2025,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"HIV-related health complications and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"AIDS Vancouver; University of British Columbia","funders":"Ministry of Health, British Columbia","keywords":"Medicine; Population; Comorbidity; Statistic; Human immunodeficiency virus (HIV); Framingham Risk Score; Disease; Gerontology; Internal medicine; Demography; Environmental health; Statistics; Family medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.008433042,0.001324814,0.0009675947,0.001962931,0.0005452008,0.001838141,0.001223357,0.0008555444,0.002371664],"category_scores_gemma":[0.0187951,0.0003566827,0.002116224,0.00111418,0.0002971831,0.0007320741,0.00151955,0.001867838,0.00107531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071795,"about_ca_system_score_gemma":0.00246479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.014415,"about_ca_topic_score_gemma":0.01339765,"domain_scores_codex":[0.9975744,0.0007527504,0.000287181,0.0004819334,0.0006632712,0.0002405476],"domain_scores_gemma":[0.9932351,0.002228842,0.0008712425,0.0004954896,0.002665143,0.0005042865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006610227,0.000683189,0.8934836,0.000133911,0.0007709647,0.00008045942,0.0001607191,0.007308678,0.0005733308,0.0004885086,0.01103972,0.08461583],"study_design_scores_gemma":[0.0004882446,0.001640172,0.7160915,0.0004191481,0.0007713626,0.0004107849,0.0003191165,0.2662876,0.002075607,0.001909503,0.009459282,0.0001277494],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9363114,0.000991489,0.02896086,0.001079949,0.0003476917,0.00180401,0.0244596,0.0007142089,0.005330798],"genre_scores_gemma":[0.9193809,0.0005102844,0.03853698,0.0003402629,0.000162491,0.001762414,0.03777524,0.00006200537,0.001469392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.014415,"threshold_uncertainty_score":0.04459876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05525889375274938,"score_gpt":0.3776947017838802,"score_spread":0.3224358080311308,"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."}}