{"id":"W4296411662","doi":"10.1093/ageing/afac165","title":"Examining the prevalence and correlates of multimorbidity among community-dwelling older adults: cross-sectional evidence from the Canadian Longitudinal Study on Aging (CLSA) first-follow-up data","year":2022,"lang":"en","type":"article","venue":"Age and Ageing","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Lawson Health Research Institute","keywords":"Medicine; Multimorbidity; Cross-sectional study; Gerontology; Longitudinal data; Longitudinal study; Demography; Comorbidity; Environmental health; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001236637,0.0001450934,0.0001659624,0.00005556578,0.002295736,0.0001997624,0.0004800892,0.00002314846,0.0001573556],"category_scores_gemma":[0.0003744648,0.0001031247,0.00002591589,0.0001524094,0.0002592905,0.0002886785,0.0008282321,0.0006598315,8.168263e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008462069,"about_ca_system_score_gemma":0.00007831863,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2322038,"about_ca_topic_score_gemma":0.1999809,"domain_scores_codex":[0.9985439,0.000274835,0.0002393286,0.0003524541,0.0003771641,0.0002122867],"domain_scores_gemma":[0.9974704,0.001508846,0.0001239569,0.0007811607,0.0000345048,0.00008115397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005692353,0.00006430253,0.9902258,0.0001621186,0.0001047649,0.0006133831,0.007851088,0.0003330684,0.000004417428,0.00000753633,0.00009074456,0.0004858471],"study_design_scores_gemma":[0.0009325167,0.0001389092,0.9804256,0.0008880978,0.0001994414,0.000006482367,0.01250241,0.00474666,0.000001489995,0.00002001916,0.00003786188,0.0001005131],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973266,0.001461112,0.00001838791,0.0001432608,0.0001827127,0.0006190677,0.00008985589,0.00002258137,0.0001364917],"genre_scores_gemma":[0.9994219,0.0001356761,0.0000143326,0.0001047909,0.00008215668,0.00003217889,0.00007498405,0.00001318036,0.0001208315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03222293,"threshold_uncertainty_score":0.9990031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2067701336417769,"score_gpt":0.3615578854678131,"score_spread":0.1547877518260362,"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."}}