{"id":"W2289718047","doi":"","title":"MULTIMORBIDITY AND HEALTH SYSTEM COSTS AMONG OLDER ADULTS IN ONTARIO, CANADA","year":2016,"lang":"en","type":"article","venue":"","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Gerontology; Multimorbidity; Geography; Environmental health; Medicine; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006557791,0.0003434496,0.0006668866,0.0015107,0.004191704,0.001952565,0.00163558,0.0008297394,0.003457384],"category_scores_gemma":[0.003291723,0.0005623809,0.001205068,0.005207231,0.0006368127,0.0008597276,0.001313902,0.001167302,0.0002529168],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04846031,"about_ca_system_score_gemma":0.05627799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981133,"about_ca_topic_score_gemma":0.9992967,"domain_scores_codex":[0.9989815,0.00006854625,0.0001187775,0.00009636032,0.0003409265,0.0003937953],"domain_scores_gemma":[0.9962609,0.0001553315,0.000721002,0.00006642004,0.001541724,0.001254558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006782761,0.00005329001,0.9920913,0.00006138049,0.0000978169,0.0001029102,0.0006599978,0.0001425111,0.00004139044,0.0001774937,0.002845,0.003658961],"study_design_scores_gemma":[0.00001275154,0.00001249331,0.9971475,0.00007671599,0.00004290796,0.00004553294,0.001325625,0.0002332264,0.00001455788,0.00003468628,0.001042844,0.00001109596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824603,0.002480378,0.00008592738,0.002167269,0.00006156985,0.00005793906,0.008052059,0.00001338108,0.004621147],"genre_scores_gemma":[0.9937778,0.001335624,0.0001546134,0.000333429,0.00002426887,0.00002450519,0.002017153,0.000006831113,0.002325919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9515397,"threshold_uncertainty_score":0.3516058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0296378296612852,"score_gpt":0.3271851239939553,"score_spread":0.2975472943326701,"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."}}