{"id":"W2726245389","doi":"10.1093/geroni/igx004.3814","title":"HEALTH CARE OUTCOMES FOR PEOPLE WITH MULTIPLE CHRONIC CONDITIONS IN ONTARIO, CANADA","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Ottawa Hospital; University of Alberta; Institute for Clinical Evaluative Sciences; University of Waterloo; Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Multiple Chronic Conditions; Medicine; Chronic condition; Chronic disease; Health care; Chronic care; Gerontology; Population; Older people; Demography; Environmental health; Intensive care medicine; Disease; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0007951444,0.0002880819,0.0004907306,0.001799438,0.002382365,0.001120823,0.0008082076,0.0003168414,0.002647446],"category_scores_gemma":[0.00337762,0.0001879742,0.0009269481,0.005851933,0.0005205103,0.0005162809,0.001228627,0.0006629034,0.0001245692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03934725,"about_ca_system_score_gemma":0.05979392,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968352,"about_ca_topic_score_gemma":0.9988464,"domain_scores_codex":[0.9988037,0.00007111295,0.0001077384,0.0001060334,0.0005876215,0.0003237173],"domain_scores_gemma":[0.996385,0.0001529788,0.0009064261,0.00006100102,0.001513909,0.0009807053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001324114,0.00006288585,0.9534894,0.0006536738,0.0002768337,0.0002422516,0.001050082,0.000292301,0.0001300743,0.000634052,0.0116004,0.03143568],"study_design_scores_gemma":[0.0000219631,0.00002674912,0.9946167,0.0003005771,0.0001097994,0.00009294038,0.0009370024,0.0001720501,0.00002649301,0.00008065511,0.003596787,0.00001829283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.879057,0.03539567,0.0005092063,0.01108151,0.0003212725,0.000316382,0.04448177,0.00006314393,0.02877407],"genre_scores_gemma":[0.9793275,0.01356729,0.0005547526,0.0005733194,0.00008685598,0.00007497428,0.003832177,0.000008142274,0.001974982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03934725,"threshold_uncertainty_score":0.2854856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1090608035864657,"score_gpt":0.4399322655198338,"score_spread":0.3308714619333681,"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."}}