{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007706458,0.0001163303,0.0004429982,0.00009809685,0.0001236957,0.000007463686,0.00006889983,0.0000234996,0.00001982426],"category_scores_gemma":[0.0003605823,0.0001079261,0.00002097663,0.00004029202,0.00003770383,0.00008307309,0.00008911022,0.0001178215,1.911924e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003199278,"about_ca_system_score_gemma":0.008077821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988212,"about_ca_topic_score_gemma":0.9998781,"domain_scores_codex":[0.9981735,0.0002334528,0.000761996,0.0003190408,0.0002177974,0.0002942007],"domain_scores_gemma":[0.9987642,0.0001287291,0.000369033,0.0002770673,0.0000574882,0.000403503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006858369,0.0003605683,0.9682814,0.0009496523,0.00002515269,0.000004028468,0.0002513911,0.01895814,0.00009151024,0.000003927244,0.000380809,0.01000752],"study_design_scores_gemma":[0.004870879,0.0004200595,0.9084285,0.0008196774,0.000008918747,2.720579e-7,0.0003257033,0.08500274,0.00002431994,0.0000155774,0.00001685056,0.00006652087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950698,0.0006029553,0.00004702332,0.002384827,0.00006054051,0.00168898,0.0001344993,0.000002427459,0.000008958921],"genre_scores_gemma":[0.9986126,0.001147905,0.00007110609,0.0000386166,0.00001782818,0.00006983212,0.00002151108,0.000006833999,0.00001378812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06604459,"threshold_uncertainty_score":0.9975455,"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."}}