{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001107845,0.0001979499,0.0005011761,0.00007636428,0.0001575563,0.00008817102,0.0001792762,0.00005065364,0.0003756898],"category_scores_gemma":[0.0001183512,0.0001269515,0.00009709586,0.00009126627,0.0001785062,0.0002167174,0.0002960792,0.0004047455,0.00002041823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002022625,"about_ca_system_score_gemma":0.0001397248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002453416,"about_ca_topic_score_gemma":0.0001007198,"domain_scores_codex":[0.998373,0.0001357163,0.0004424281,0.000196608,0.0006067244,0.0002455018],"domain_scores_gemma":[0.9987014,0.0001833431,0.0003724547,0.0003967861,0.0001519134,0.0001941384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002730537,0.000370382,0.974209,0.0001255881,0.0004139321,0.0001286734,0.0003603166,0.00001963285,0.0001763881,0.0001092803,0.02349705,0.0003166739],"study_design_scores_gemma":[0.00419186,0.0006200801,0.987086,0.00009791241,0.0005418552,0.0001841937,0.001182475,0.0002674157,0.00004773544,0.00008178415,0.005568919,0.0001297945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945935,0.0006630618,0.00001074612,0.00210773,0.0004092346,0.0008967936,0.00002435754,0.00001957057,0.001274981],"genre_scores_gemma":[0.998272,0.000234348,0.00009166596,0.0002935416,0.0003070236,0.000004615889,0.000008384276,0.00001777418,0.0007706217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01792813,"threshold_uncertainty_score":0.5176933,"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."}}