{"id":"W4413835900","doi":"10.1177/08901171251374738","title":"Describing the Profile of Individuals at Heightened Risk for Cardiometabolic Multimorbidity: A Secondary Analysis of the Canadian Longitudinal Study on Aging Data","year":2025,"lang":"en","type":"article","venue":"American Journal of Health Promotion","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Multimorbidity; Longitudinal data; Gerontology; Medicine; Longitudinal study; Environmental health; Comorbidity; Demography; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003358598,0.0001235314,0.0007716906,0.0008212928,0.0003600119,0.00001951798,0.0003988056,0.0000172681,0.00003312643],"category_scores_gemma":[0.0003749905,0.00007402986,0.0002217832,0.001694616,0.0001967703,0.0001019848,0.000134788,0.0002490047,2.402168e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000468876,"about_ca_system_score_gemma":0.002413172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03784547,"about_ca_topic_score_gemma":0.03228964,"domain_scores_codex":[0.9976365,0.000637803,0.0007841777,0.0002151484,0.0004694845,0.0002568766],"domain_scores_gemma":[0.9971481,0.000172424,0.001578641,0.0007236518,0.0002525771,0.0001246005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001380409,0.0006382358,0.874305,0.0003043667,0.006939582,0.00000467023,0.001662813,0.0004269579,0.00001935717,0.00008991771,0.001207054,0.114264],"study_design_scores_gemma":[0.001229912,0.001209422,0.9872575,0.0003270559,0.004462909,0.000003158364,0.004202254,0.0009111534,0.00003735544,0.00002516502,0.0002828105,0.00005126543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917985,0.0004863892,0.0006120645,0.004918789,0.0001691729,0.001520137,0.0003183039,0.000004935351,0.0001716716],"genre_scores_gemma":[0.9992096,0.00007001598,0.0003641681,0.0001947834,0.00005054773,0.0000182127,0.0000584928,0.000009548708,0.00002461848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1142128,"threshold_uncertainty_score":0.9853685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2227560361131977,"score_gpt":0.4227026206187601,"score_spread":0.1999465845055624,"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."}}