{"id":"W2750840957","doi":"10.24095/hpcdp.37.2.02","title":"Multiple sclerosis in Canada 2011 to 2031: results of a microsimulation modelling study of epidemiological and economic impacts","year":2017,"lang":"en","type":"article","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Ministry of Health; Toronto Western Hospital; University of Manitoba; Ottawa Hospital; University of Ottawa; Institute for Clinical Evaluative Sciences; Statistics Canada; Bruyère; Public Health Agency of Canada","funders":"University of Toronto; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Microsimulation; Population; Medicine; Demography; Population health; Per capita; Epidemiology; Health care; Health economics; Incidence (geometry); Environmental health; Cohort; Public health; Gerontology; Actuarial science; Business; Economics; Economic growth","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001501781,0.0008534026,0.000727586,0.0008842141,0.001203963,0.001183241,0.001367602,0.000613781,0.001844269],"category_scores_gemma":[0.003975361,0.0003012898,0.001574737,0.001941153,0.0004466362,0.0005007872,0.0008091138,0.0008699934,0.0002290009],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03015749,"about_ca_system_score_gemma":0.02376979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9887378,"about_ca_topic_score_gemma":0.9768221,"domain_scores_codex":[0.9994702,0.0001470684,0.00001874098,0.0000782551,0.0001021591,0.0001836468],"domain_scores_gemma":[0.998172,0.0005238513,0.0001859779,0.00008488478,0.0008254347,0.0002077759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005226456,0.0002915165,0.2583492,0.0001811896,0.0009066106,0.0003488801,0.0004274935,0.7033955,0.0003080319,0.006319945,0.01460758,0.01434131],"study_design_scores_gemma":[0.0001087697,0.00009860017,0.1551391,0.0000715229,0.00028168,0.00006144568,0.0009941621,0.8341199,0.0002917086,0.001656437,0.007081121,0.00009565674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776652,0.0008112331,0.002240311,0.002064693,0.00003188467,0.00007452295,0.01221573,0.0001119247,0.004784435],"genre_scores_gemma":[0.9895396,0.0004690031,0.001697018,0.0001335804,0.00001175865,0.00005631175,0.00652893,0.00003752824,0.001526161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9698425,"threshold_uncertainty_score":0.2188089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1722290793755087,"score_gpt":0.3880825728741439,"score_spread":0.2158534934986353,"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."}}