{"id":"W2517420818","doi":"10.1212/wnl.0000000000002787","title":"MRI in the evaluation of pediatric multiple sclerosis","year":2016,"lang":"en","type":"review","venue":"Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"EMD Serono; National Institutes of Health; Fondazione Italiana di Ricerca per la Sclerosi Laterale Amiotrofica; Ministero della Salute; Genentech; Coherus Biosciences; Claret Medical; Acorda Therapeutics; Jacques und Gloria Gossweiler-Stiftung; Fondazione Italiana Sclerosi Multipla; Questcor Pharmaceuticals; Teva Pharmaceutical Industries; Biogen; National Multiple Sclerosis Society; Alzheimer's Drug Discovery Foundation; New York State Stem Cell Science; Sanofi","keywords":"Multiple sclerosis; Medicine; Clinical trial; Lesion; Neuroimaging; Clinically isolated syndrome; Magnetic resonance imaging; Cognitive impairment; Pediatrics; Pathology; Radiology; Physical medicine and rehabilitation; Disease; 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":[],"consensus_categories":[],"category_scores_codex":[0.0009907915,0.0008382054,0.00163245,0.005118375,0.0002347893,0.001138633,0.0007747591,0.00125151,0.00318533],"category_scores_gemma":[0.002440541,0.0003106375,0.0007565882,0.003733802,0.0007774219,0.001490753,0.0005991326,0.001718085,0.0012141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006028394,"about_ca_system_score_gemma":0.001327374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002166371,"about_ca_topic_score_gemma":0.00331366,"domain_scores_codex":[0.9995567,0.000131621,0.0001100001,0.00005553982,0.0001186556,0.00002748898],"domain_scores_gemma":[0.9986014,0.0008395447,0.0002262055,0.00002771551,0.000253366,0.00005190288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001049688,0.00003992878,0.0008943375,0.04199147,0.0001957666,0.0006150409,0.0001676508,0.0002211735,0.000998489,0.001768077,0.02301996,0.9299831],"study_design_scores_gemma":[0.00005302659,0.0001264211,0.008275815,0.05068491,0.0007487636,0.01513605,0.0004192291,0.0001539422,0.0006305804,0.00338693,0.9203361,0.00004820567],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007517244,0.999241,0.00004199222,0.0001333143,0.00006987117,0.000003337989,0.000008717499,0.000003309228,0.0004233464],"genre_scores_gemma":[0.0009979637,0.9984628,0.0001459178,0.0001300904,0.0001212653,0.000004728669,0.00001394342,0.000001286929,0.0001219265],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005118375,"threshold_uncertainty_score":0.010656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.331847338445998,"score_gpt":0.4311270074987948,"score_spread":0.09927966905279689,"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."}}