{"id":"W3090120661","doi":"10.1001/jamanetworkopen.2020.14220","title":"Associations Between Findings From Myelin Water Imaging and Cognitive Performance Among Individuals With Multiple Sclerosis","year":2020,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; International Collaboration On Repair Discoveries; University of British Columbia","funders":"Sanofi Genzyme; EMD Serono; Multiple Sclerosis Society of Canada; Vertex Pharmaceuticals; Multiple Sclerosis Society; F. Hoffmann-La Roche; Teva Pharmaceutical Industries; Michael Smith Health Research BC; Biogen; Celgene; Sanofi","keywords":"Multiple sclerosis; Magnetic resonance imaging; Cognition; Medicine; Neuroimaging; Effects of sleep deprivation on cognitive performance; Myelin; Audiology; Internal medicine; Radiology; Psychiatry; Central nervous system","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":[0.0006166003,0.0004184026,0.0002528346,0.001092048,0.000526315,0.0004935972,0.0003484863,0.0004854454,0.001444047],"category_scores_gemma":[0.002619498,0.0001860213,0.0002049436,0.0008355922,0.0003498885,0.0005814845,0.0004835367,0.0004605675,0.0002143686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002385237,"about_ca_system_score_gemma":0.0002282173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002845941,"about_ca_topic_score_gemma":0.005541584,"domain_scores_codex":[0.9996401,0.00006245572,0.00005758455,0.00008468572,0.000108147,0.00004695506],"domain_scores_gemma":[0.9986028,0.0002141739,0.0007541461,0.00006168109,0.0001904405,0.0001767841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001272869,0.00006400118,0.9983834,0.00001189629,0.00004344944,0.00005460816,0.00007487791,0.0000173513,0.0002531616,0.000005537237,0.00004488296,0.0009194955],"study_design_scores_gemma":[0.00000500481,0.0001924144,0.9992179,0.000004691569,0.00002208247,0.0002336654,0.000121368,0.00004287532,0.00008356183,0.00001897033,0.00005407154,0.000003344434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993543,0.0001497252,0.00002337743,0.0000310691,0.000003218232,0.000006560112,0.0001581954,0.000002133651,0.0002713533],"genre_scores_gemma":[0.9995135,0.00007140087,0.00006296582,0.00001947917,0.000008491739,0.000008266882,0.0001580999,0.000001209987,0.0001567302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002845941,"threshold_uncertainty_score":0.005658746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07215373062952989,"score_gpt":0.2927142803203043,"score_spread":0.2205605496907744,"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."}}