{"id":"W2753716024","doi":"10.1177/1352458517728812","title":"Cladribine versus fingolimod, natalizumab and interferon β for multiple sclerosis","year":2017,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Saint Jerome; Clinique Neuro-Outaouais; Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Université de Montréal; Hôpital Notre-Dame","funders":"National Health and Medical Research Council; Sanofi Genzyme; Bayer HealthCare; Multiple Sclerosis Society; Canadian Institutes of Health Research; Teva Pharmaceutical Industries; Multiple Sclerosis Society of Canada; Univerzita Karlova v Praze; Fondazione Italiana Sclerosi Multipla; Biogen; Sanofi","keywords":"Fingolimod; Natalizumab; Medicine; Multiple sclerosis; Cladribine; Internal medicine; Gastroenterology; Immunology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.004759415,0.0003415214,0.0007670947,0.0002755803,0.0001315023,0.000614353,0.0003470595,0.0003832713,0.002662341],"category_scores_gemma":[0.006026526,0.0001857542,0.003070495,0.0003228677,0.0002538065,0.0002932931,0.0003798057,0.0004641854,0.0001524713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005736696,"about_ca_system_score_gemma":0.000467984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008644608,"about_ca_topic_score_gemma":0.0008950598,"domain_scores_codex":[0.9973122,0.001865134,0.0001766203,0.0003656366,0.0001800456,0.0001003543],"domain_scores_gemma":[0.9966869,0.001659995,0.001080308,0.0003320806,0.00009694337,0.0001438306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"systematic_review","study_design_scores_codex":[0.618017,0.00102759,0.2092527,0.001503178,0.04917391,0.0002634201,0.0001401944,0.03317715,0.007517422,0.001486267,0.002266757,0.07617447],"study_design_scores_gemma":[0.09636135,0.09441339,0.6083445,0.0006085089,0.05117468,0.001497893,0.0002668607,0.115334,0.01245701,0.006057936,0.0133509,0.0001330675],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9915603,0.003290751,0.002885505,0.0001654067,0.00007340257,0.0002423083,0.0008536406,0.00002003873,0.0009086264],"genre_scores_gemma":[0.9982679,0.0003152558,0.0004917089,0.0000791616,0.0000268625,0.00006546731,0.0004917947,0.000003783528,0.0002579844],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004759415,"threshold_uncertainty_score":0.02517051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2605903277885955,"score_gpt":0.3522453158798759,"score_spread":0.09165498809128042,"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."}}