{"id":"W2074738783","doi":"10.1212/wnl.0b013e3181cf6ec0","title":"The rising prevalence and changing age distribution of multiple sclerosis in Manitoba","year":2010,"lang":"en","type":"article","venue":"Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":305,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Medicine; Medical record; Incidence (geometry); Confidence interval; Population; Multiple sclerosis; Demography; Medical prescription; Medical diagnosis; Prevalence; Diagnosis code; Predictive value; Pediatrics; Internal medicine; Environmental health; Psychiatry; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0006527845,0.0003240791,0.0002689853,0.002730377,0.001523202,0.001120855,0.001193821,0.0005526382,0.001731223],"category_scores_gemma":[0.002374003,0.0003120947,0.0003703935,0.004328922,0.0007714771,0.0003888,0.0008014426,0.0005632154,0.000266142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01354732,"about_ca_system_score_gemma":0.01307922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9670526,"about_ca_topic_score_gemma":0.9695646,"domain_scores_codex":[0.9992404,0.0001035733,0.00005540476,0.000115619,0.000277697,0.0002074146],"domain_scores_gemma":[0.9978147,0.0001301996,0.0004406533,0.00004117013,0.001241701,0.0003314949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003915512,0.0000297995,0.9788928,0.0002008078,0.00005902293,0.0003667098,0.001433075,0.0001532853,0.0009921984,0.0001340385,0.001836888,0.01586218],"study_design_scores_gemma":[0.000004518341,0.00001157387,0.9974682,0.00007384753,0.0000181025,0.0001889291,0.0006490177,0.0001035903,0.00005582822,0.00002742961,0.001393761,0.000005220296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766902,0.01106788,0.0004928242,0.00385709,0.00007923353,0.00007452485,0.003213186,0.0000907179,0.004434242],"genre_scores_gemma":[0.9893813,0.006287288,0.000976772,0.0008010025,0.00003523927,0.0000405504,0.0009971301,0.00000964014,0.001470975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03294736,"threshold_uncertainty_score":0.09829313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0539024901466101,"score_gpt":0.2895034653007217,"score_spread":0.2356009751541117,"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."}}