{"id":"W3155342699","doi":"10.1136/jnnp-2020-325610","title":"Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumes","year":2021,"lang":"en","type":"article","venue":"Journal of Neurology Neurosurgery & Psychiatry","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Dental and Craniofacial Research; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Medical Research Council; University College London Hospitals NHS Foundation Trust; International Progressive MS Alliance; Multiple Sclerosis Society; University of Southern California; National Institute for Health and Care Research; University College London","keywords":"Grey matter; Multiple sclerosis; Internal medicine; Medicine; Expanded Disability Status Scale; Audiology; Cognitive impairment; White matter; Cognitive decline; Cognition; Psychology; Magnetic resonance imaging; Physical medicine and rehabilitation; Cartography; Neuroscience; Radiology; Geography; 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":[0.001014885,0.0007179247,0.0003343972,0.001294385,0.0002450181,0.0005345815,0.0002689527,0.0005050542,0.0009215566],"category_scores_gemma":[0.003820166,0.0001782489,0.0005010412,0.0007453496,0.0004297778,0.0004942497,0.0005415347,0.000491983,0.0002134713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001761674,"about_ca_system_score_gemma":0.0002324875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002963531,"about_ca_topic_score_gemma":0.004116078,"domain_scores_codex":[0.9997138,0.00009073324,0.00002352901,0.00009962967,0.00004454449,0.00002772882],"domain_scores_gemma":[0.9980791,0.0007314622,0.0007639662,0.000140216,0.0001440285,0.0001412357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006084312,0.00004446564,0.986347,0.00002147953,0.0002706876,0.0000567398,0.00004134436,0.001853563,0.00130761,0.00002100917,0.0001199454,0.009307688],"study_design_scores_gemma":[0.00001152795,0.0001722839,0.9922832,0.000007376767,0.00006810392,0.0001983619,0.00003583017,0.006587287,0.0003792327,0.0001763295,0.00007438897,0.000006096902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988187,0.0001914556,0.0006304993,0.0000306051,0.000002449058,0.000007121334,0.000152577,0.00001766675,0.000148885],"genre_scores_gemma":[0.9992623,0.00005541633,0.0003726057,0.000004677901,0.000005420656,0.000004140242,0.0002223975,0.000003130952,0.00006985867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002963531,"threshold_uncertainty_score":0.005892575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06350867399964923,"score_gpt":0.3233372549105621,"score_spread":0.2598285809109129,"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."}}