{"id":"W2983347375","doi":"10.1177/2235042x19875297","title":"Multimorbidity at sea level and high-altitude urban and rural settings: The CRONICAS Cohort Study","year":2019,"lang":"en","type":"article","venue":"Journal of Comorbidity","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Medical Research Council; Inter-American Institute for Global Change Research; World Diabetes Foundation; National Science Foundation; Grand Challenges Canada; Wellcome Trust; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Institutes of Health; U.S. Department of Health and Human Services; Fogarty International Center; National Institute of Mental Health; National Heart, Lung, and Blood Institute; Alliance for Health Policy and Systems Research","keywords":"Medicine; Multimorbidity; Asthma; Depression (economics); Demography; Cohort; Comorbidity; Diabetes mellitus; Internal medicine; Endocrinology","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":[0.0007788256,0.0002884816,0.0003412695,0.001004301,0.0006586758,0.0005850521,0.0004553495,0.0003657359,0.001054719],"category_scores_gemma":[0.001505861,0.0003262317,0.000391161,0.001300502,0.0001891652,0.0003994804,0.0009269848,0.0005263584,0.0001487098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004783622,"about_ca_system_score_gemma":0.0004858664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04506832,"about_ca_topic_score_gemma":0.06794728,"domain_scores_codex":[0.9996029,0.0001349019,0.00003102134,0.00008837157,0.0000592827,0.00008368951],"domain_scores_gemma":[0.9993661,0.00004391429,0.0002913871,0.00007037824,0.00007508425,0.0001531963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003451475,0.00002214322,0.9991881,0.000006068521,0.00005525433,0.00003098831,0.00009697243,0.000007585036,0.00007179838,0.000009834244,0.00006811856,0.0004086443],"study_design_scores_gemma":[0.000004366135,0.00001753709,0.9996746,0.000005275472,0.00001256926,0.00005329736,0.0001160707,0.00003796617,0.000008502127,0.000003613542,0.00006531462,0.00000104215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990799,0.0001241374,0.00005474202,0.0000523536,0.000002275753,0.00002722589,0.0004774106,0.000002628514,0.0001792937],"genre_scores_gemma":[0.9992256,0.00009249135,0.00009467895,0.00002075184,0.000005171985,0.00002342159,0.0004268604,0.000001431394,0.0001097146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04506832,"threshold_uncertainty_score":0.08961201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03429738422209967,"score_gpt":0.3129931421871105,"score_spread":0.2786957579650108,"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."}}