{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001246208,0.0006513005,0.001108797,0.0004170424,0.003575599,0.001068892,0.0008360236,0.0003081188,0.0001392874],"category_scores_gemma":[0.0103632,0.000558549,0.0005712491,0.0001388239,0.0008335882,0.0008999099,0.0008290035,0.001040029,0.00004683106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004630118,"about_ca_system_score_gemma":0.0001783136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003402984,"about_ca_topic_score_gemma":0.0006494236,"domain_scores_codex":[0.9956208,0.0001315264,0.0009560392,0.0009067275,0.001006932,0.00137791],"domain_scores_gemma":[0.9949123,0.001202155,0.000703049,0.001312236,0.0008786916,0.0009916225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02737414,0.001203377,0.2680364,0.00066139,0.0020911,0.00005859464,0.001778428,0.00004751503,0.3377545,0.00007797466,0.02505422,0.3358624],"study_design_scores_gemma":[0.056947,0.002729164,0.8973293,0.00182802,0.0003351318,0.000126448,0.0007180246,0.01299025,0.01687017,0.00004243407,0.00927703,0.0008070308],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881091,0.001416363,0.001599873,0.00449426,0.001697185,0.001671362,0.0002713928,0.0001435771,0.0005968803],"genre_scores_gemma":[0.9835642,0.004746294,0.009292634,0.0002008013,0.001433849,0.0002303444,0.00004213116,0.0001400206,0.0003497542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6292929,"threshold_uncertainty_score":0.9999681,"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."}}