{"id":"W2763374939","doi":"10.1136/bmjopen-2017-017264","title":"Effect of socio-demographic factors on the association between multimorbidity and healthcare costs: a population-based, retrospective cohort study","year":2017,"lang":"en","type":"article","venue":"BMJ Open","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Public Health Ontario; Women's College Hospital; University of Toronto; University of Alberta; Toronto Rehabilitation Institute; University of Waterloo; Institute for Clinical Evaluative Sciences; Ottawa Hospital; University of Ottawa","funders":"Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Health care; Retrospective cohort study; Demography; Cohort; Population; Medical Expenditure Panel Survey; Multimorbidity; Gerontology; Cohort study; Health economics; Public health; Environmental health; Health insurance; Surgery; Nursing","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":[],"consensus_categories":[],"category_scores_codex":[0.002468026,0.0001458609,0.0004742634,0.00005861625,0.0004466117,0.0001607541,0.0002748339,0.00006280845,0.00004755907],"category_scores_gemma":[0.00138562,0.00009517188,0.00007671753,0.00007348199,0.00005567533,0.0001357948,0.0001888776,0.0001664741,0.000003646703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006259556,"about_ca_system_score_gemma":0.00008511184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01208947,"about_ca_topic_score_gemma":0.0007699463,"domain_scores_codex":[0.9983978,0.0003814531,0.0002327435,0.0002810724,0.0005530618,0.0001538431],"domain_scores_gemma":[0.9980526,0.0005464915,0.0005206974,0.0007200998,0.0000929271,0.00006720294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001955866,0.00009543667,0.9982269,0.0001294364,0.0003704902,0.000003057801,0.00009267557,0.000001063036,7.52188e-7,0.000227584,0.0003769639,0.0002800149],"study_design_scores_gemma":[0.002375307,0.00115699,0.9952521,0.000195431,0.0004140915,5.653791e-8,0.0003611938,0.00004239583,0.00002010532,0.00008643328,0.000007852434,0.00008802678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783083,0.000006579253,0.000001198335,0.002164805,0.00007771241,0.01682665,0.00007456882,0.00002263411,0.002517595],"genre_scores_gemma":[0.9991318,0.000002985966,0.000004150289,0.00006403576,0.00007360562,0.0004921102,0.0001038664,0.00001436835,0.0001130801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02082354,"threshold_uncertainty_score":0.9944891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08028821758338127,"score_gpt":0.4379085950400164,"score_spread":0.3576203774566352,"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."}}