{"id":"W4405649968","doi":"10.1093/aje/kwae466","title":"Multimorbidity patterns, sociodemographic characteristics, and mortality: Data science insights from low-resource settings","year":2024,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Fogarty International Center; National Institute for Health and Care Research; National Institute on Aging; National Heart, Lung, and Blood Institute; Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica; National Health and Medical Research Council; World Health Organization; Wellcome Trust; Biotechnology and Biological Sciences Research Council; Department of Health and Social Care; Medical Research Council; Alliance for Health Policy and Systems Research; National Cancer Institute; Inter-American Institute for Global Change Research; Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica; UK Research and Innovation; National Science Foundation; Grand Challenges Canada; World Diabetes Foundation; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Institute of Mental Health; International Development Research Centre; Bloomberg Philanthropies; University of North Carolina at Chapel Hill; Engineering and Physical Sciences Research Council","keywords":"Multimorbidity; Medicine; Medoid; Cohort; COPD; Cluster (spacecraft); Demography; Chronic bronchitis; Comorbidity; Cohort study; Disease; Population; Asthma; Stroke (engine); Epidemiology; Environmental health; Gerontology; Internal medicine; Cluster analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01383004,0.0003600782,0.0008116919,0.0035296,0.001132845,0.002584326,0.001050784,0.0006587341,0.0008685932],"category_scores_gemma":[0.08473803,0.0004547091,0.0007083751,0.005208637,0.001211915,0.001954578,0.003426546,0.001664616,0.00009089536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626318,"about_ca_system_score_gemma":0.002835407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02559884,"about_ca_topic_score_gemma":0.04485745,"domain_scores_codex":[0.9877343,0.01011245,0.0005872271,0.0005467475,0.0007464014,0.0002729553],"domain_scores_gemma":[0.924255,0.06095517,0.005814866,0.005004168,0.002729431,0.001241422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004183962,0.0001250916,0.9631041,0.0003686484,0.0003137041,0.0001713607,0.003645461,0.002746069,0.0001510541,0.004341308,0.001380925,0.02361044],"study_design_scores_gemma":[0.00002803106,0.000152265,0.9118541,0.001028226,0.0002408639,0.0004766422,0.01329383,0.03255807,0.0003458343,0.03212235,0.007812822,0.00008697205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489567,0.004780239,0.02852497,0.009711218,0.00004736488,0.0002589104,0.004556675,0.00005186886,0.003112052],"genre_scores_gemma":[0.9750123,0.001181784,0.0213625,0.0006722535,0.00004534106,0.0002393999,0.001378421,0.00001456145,0.00009345391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02559884,"threshold_uncertainty_score":0.07314116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07726422797714914,"score_gpt":0.3867492572018255,"score_spread":0.3094850292246763,"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."}}