{"id":"W3133465291","doi":"10.1503/cmaj.201473","title":"Trends in prevalence of chronic disease and multimorbidity in Ontario, Canada","year":2021,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Medical Association; Canadian Institutes of Health Research; Western University","funders":"","keywords":"Multimorbidity; Medicine; Cohort; Population; Disease; Demography; Chronic disease; Cohort study; Comorbidity; Chronic condition; Observational study; Prevalence; Health care; Pediatrics; Environmental health; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000969027,0.0003420297,0.0004380347,0.002602173,0.00177158,0.001178533,0.001433521,0.0003661326,0.001837295],"category_scores_gemma":[0.003861885,0.0003746409,0.0007195817,0.005211632,0.0006507045,0.0005577195,0.0008253484,0.0006376681,0.0001918869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05710332,"about_ca_system_score_gemma":0.05604818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973341,"about_ca_topic_score_gemma":0.9981083,"domain_scores_codex":[0.9981295,0.00008947634,0.0001272846,0.0002196566,0.0009738331,0.000460174],"domain_scores_gemma":[0.9930687,0.0002419236,0.001574953,0.0001465758,0.003819868,0.001148048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004489207,0.00001474283,0.9899895,0.0001062905,0.00009422431,0.00004908469,0.0004890377,0.0002234109,0.000150842,0.0001773894,0.004090657,0.004569815],"study_design_scores_gemma":[0.000005640878,0.000008618605,0.9976104,0.00003218138,0.0000203539,0.00002985877,0.0002938346,0.000308119,0.00003206897,0.00002451104,0.001626741,0.000007588973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9247006,0.004357456,0.0007501472,0.003174492,0.00007973878,0.0001559955,0.05890905,0.000122225,0.007750363],"genre_scores_gemma":[0.9870301,0.001572317,0.0007117447,0.0002970416,0.00002419086,0.00006876327,0.00836381,0.00001635654,0.001915613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05710332,"threshold_uncertainty_score":0.4143155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614885790373925,"score_gpt":0.2671169805458747,"score_spread":0.2509681226421355,"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."}}