{"id":"W2914328904","doi":"10.12927/hcq.2018.25709","title":"Putting a Population Health Lens to Multimorbidity in Ontario","year":2018,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health; Public Health Ontario","funders":"","keywords":"Health care; Multimorbidity; Equity (law); Medicine; Chronic disease; Population; Population health; Chronic condition; Disease management; Disease; Health equity; Healthcare system; Family medicine; Gerontology; Public health; Environmental health; Nursing; Health management system; Alternative medicine; Economic growth; Pathology; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003519672,0.0001533474,0.000309752,0.0002334937,0.0001158166,0.00003075176,0.00006914178,0.00005758978,0.0002250251],"category_scores_gemma":[0.00001904809,0.0001587518,0.00005123828,0.000264182,0.00002601405,0.0001505358,0.00001440621,0.0002180181,0.0001837154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627009,"about_ca_system_score_gemma":0.0008407969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5932119,"about_ca_topic_score_gemma":0.8286936,"domain_scores_codex":[0.9982604,0.00008738296,0.0004477733,0.0004019838,0.000283288,0.0005191613],"domain_scores_gemma":[0.9991254,0.00001916629,0.00009840994,0.0003782384,0.0000850333,0.0002937759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003496749,0.0003893472,0.7401613,0.001009259,0.00003227634,0.00008942674,0.02195205,0.000004864334,0.00003099479,0.004426556,0.01284686,0.2187074],"study_design_scores_gemma":[0.0009831733,0.002364574,0.9866863,0.0003755201,0.000007307861,0.000007717861,0.001143449,0.0002123368,0.000002286572,0.0003956766,0.007709454,0.0001122219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527272,0.00006652686,0.0001788323,0.04108811,0.0003229332,0.001415561,0.00000562382,0.0001640953,0.004031093],"genre_scores_gemma":[0.9921232,0.000002556532,0.002046465,0.004914726,0.0003128279,0.00004136577,0.0000953156,0.00002122008,0.0004423332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.246525,"threshold_uncertainty_score":0.6473711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08332643156329926,"score_gpt":0.3805400590323217,"score_spread":0.2972136274690224,"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."}}