{"id":"W4409234667","doi":"10.1212/wnl.0000000000211375","title":"Leveraging the Power of Artificial Intelligence to Understand Cognitive Impairment in Multiple Sclerosis: A Scoping Review (P4-1.004)","year":2025,"lang":"en","type":"review","venue":"Neurology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; University of Toronto","funders":"","keywords":"Multiple sclerosis; Cognitive impairment; Cognition; Psychology; Artificial intelligence; Medicine; Computer science; Cognitive science; Cognitive psychology; Neuroscience; 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":[0.002151582,0.0007852341,0.002025634,0.00531952,0.0003418037,0.001555628,0.001220621,0.001918117,0.006279188],"category_scores_gemma":[0.006697906,0.0003519051,0.001712365,0.004808075,0.0004990142,0.001810518,0.00111614,0.001930408,0.00139152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009888399,"about_ca_system_score_gemma":0.003560666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002572206,"about_ca_topic_score_gemma":0.005602155,"domain_scores_codex":[0.9994316,0.000142057,0.0001578548,0.00007028968,0.0001641649,0.000034014],"domain_scores_gemma":[0.9954727,0.003456143,0.0003574265,0.00006036809,0.0005783006,0.00007497556],"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":[0.0000893387,0.00004036462,0.0001880075,0.1741898,0.0006822044,0.0001163097,0.00009963012,0.0002671937,0.0004890371,0.003204675,0.02429586,0.7963375],"study_design_scores_gemma":[0.00006700095,0.000144329,0.001495073,0.3024186,0.002713559,0.0007998662,0.0001436389,0.0001692635,0.0004070244,0.004274758,0.6873141,0.00005282156],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003378819,0.9990692,0.00007749062,0.0003566851,0.0001469085,0.00001116326,0.00003431608,0.000003167791,0.0002674246],"genre_scores_gemma":[0.0003392479,0.9988655,0.0001907836,0.0003075096,0.00009738375,0.0000185907,0.0000473675,0.00000128727,0.0001324773],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006279188,"threshold_uncertainty_score":0.02100599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.118232404254807,"score_gpt":0.3681018945838568,"score_spread":0.2498694903290498,"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."}}