{"id":"W2553805777","doi":"10.3310/hta20810","title":"Modelling disease progression in relapsing–remitting onset multiple sclerosis using multilevel models applied to longitudinal data from two natural history cohorts and one treated cohort","year":2016,"lang":"en","type":"article","venue":"Health Technology Assessment","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Health Technology Assessment Programme; Canadian Institutes of Health Research; National Institutes of Health; Multiple Sclerosis Trust; Multiple Sclerosis Society; Teva Pharmaceutical Industries; University of Western Macedonia; National Institute for Health and Care Research; U.S. Department of Veterans Affairs; Multiple Sclerosis Society of Canada; American Academy of Neurology; National Multiple Sclerosis Society; University of Southampton; Michael Smith Health Research BC; Innovative Research Group Project of the National Natural Science Foundation of China; Medical Research Council; Biogen","keywords":"Medicine; Cohort; Cohort study; Natural history; Multiple sclerosis; Expanded Disability Status Scale; Internal medicine; Physical therapy; Observational study; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02119377,0.001002402,0.001553003,0.001517073,0.000857256,0.001980324,0.002385861,0.001701344,0.002292812],"category_scores_gemma":[0.03213423,0.0008600827,0.004528999,0.001218337,0.0008909421,0.001070432,0.002343023,0.00307587,0.0003284227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002038314,"about_ca_system_score_gemma":0.001989746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04722474,"about_ca_topic_score_gemma":0.03755005,"domain_scores_codex":[0.9936115,0.004645073,0.0002375217,0.0008912023,0.0002214128,0.0003932928],"domain_scores_gemma":[0.9596267,0.03009835,0.004714276,0.00253075,0.001748402,0.001281488],"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":[0.004123695,0.0006589439,0.3999467,0.000401673,0.00492804,0.0006980241,0.001915986,0.5290678,0.001365154,0.01333583,0.004037878,0.03952029],"study_design_scores_gemma":[0.0004332448,0.0008498379,0.04504581,0.0001129383,0.000864178,0.0001323772,0.00029021,0.9370645,0.0002651636,0.013321,0.001528342,0.00009252979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8716688,0.001167612,0.1184085,0.002317404,0.0001746988,0.0005464455,0.004315003,0.0002661919,0.00113539],"genre_scores_gemma":[0.9574322,0.0004695392,0.03632702,0.0002725826,0.0000882227,0.0007519375,0.003135994,0.0000478682,0.001474608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04722474,"threshold_uncertainty_score":0.1120847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2765462774040425,"score_gpt":0.4139975566849543,"score_spread":0.1374512792809118,"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."}}