{"id":"W4298087646","doi":"10.1177/13524585221125382","title":"Recurrent disability progression endpoints in multiple sclerosis clinical trials","year":2022,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"F. Hoffmann-La Roche","keywords":"Medicine; Multiple sclerosis; Clinical trial; Proportional hazards model; Randomized controlled trial; Expanded Disability Status Scale; Marginal structural model; Clinical endpoint; Physical therapy; Physical medicine and rehabilitation; Internal medicine; Confidence interval; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2553487,0.001163581,0.003685032,0.001739787,0.0005049396,0.001928489,0.001912729,0.001776079,0.003946531],"category_scores_gemma":[0.29083,0.0003978543,0.006917049,0.001884192,0.001131145,0.001716714,0.00214416,0.003615938,0.0004392783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453559,"about_ca_system_score_gemma":0.002718069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002737253,"about_ca_topic_score_gemma":0.0003416204,"domain_scores_codex":[0.6010383,0.3696077,0.01491126,0.003482934,0.01033505,0.00062469],"domain_scores_gemma":[0.6193671,0.3220762,0.03446062,0.01271951,0.009462849,0.001913866],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.2663022,0.00257911,0.03872075,0.06976785,0.09351637,0.0003668737,0.001194862,0.06444764,0.003092512,0.03086664,0.01688187,0.4122634],"study_design_scores_gemma":[0.2122635,0.1461746,0.09868541,0.0225491,0.04981332,0.001641144,0.0004866644,0.2138684,0.009012342,0.1603135,0.08439448,0.0007976586],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2622882,0.2102479,0.4372926,0.006998074,0.003666862,0.05016557,0.007687413,0.001546595,0.02010679],"genre_scores_gemma":[0.8263318,0.00881204,0.1051021,0.001945432,0.0007453742,0.05223084,0.003470092,0.0001830554,0.001179205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7446513,"threshold_uncertainty_score":0.9182876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5092941805457951,"score_gpt":0.468741093657901,"score_spread":0.04055308688789411,"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."}}