{"id":"W4288735600","doi":"10.1016/j.nicl.2022.103137","title":"Longitudinal changes of deep gray matter shape in multiple sclerosis","year":2022,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Schweizerische Multiple Sklerose Gesellschaft; Bundesministerium für Wirtschaft und Energie; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Universitätsspital Basel; Universität Basel; Allegheny Technologies Incorporated; Bayer; Celgene; Biogen; Bayer HealthCare; European Commission; Sanofi; Bundesministerium für Bildung und Forschung; Teva Pharmaceutical Industries; Novartis; F. Hoffmann-La Roche; Roche","keywords":"White matter; Lesion; Medicine; Expanded Disability Status Scale; Multiple sclerosis; Magnetic resonance imaging; Grey matter; Voxel; Nuclear medicine; Surgery; Radiology","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":[0.0003913937,0.0002138778,0.0001896203,0.0006111012,0.0001931791,0.0003249228,0.0001707431,0.0002610447,0.0007819619],"category_scores_gemma":[0.001190823,0.0001306717,0.0002225383,0.0004302668,0.0001649553,0.0003009657,0.0003233388,0.0002272001,0.0002028933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001772352,"about_ca_system_score_gemma":0.0001154296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001675297,"about_ca_topic_score_gemma":0.002228527,"domain_scores_codex":[0.9998947,0.00001790795,0.000009932184,0.00003753898,0.00002432428,0.00001560741],"domain_scores_gemma":[0.9993332,0.00007221963,0.0003517559,0.00005472667,0.0001071191,0.00008093462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005415825,0.00004033454,0.9792183,0.00002507215,0.0001608292,0.000250853,0.0001693464,0.0004012126,0.007254076,0.00002001606,0.00009399319,0.01182443],"study_design_scores_gemma":[0.000002458859,0.0001266794,0.9984701,0.000003277609,0.00001996905,0.0004578464,0.00004314628,0.0002877287,0.0004255334,0.00003047305,0.0001296646,0.000003097997],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993488,0.0001663039,0.0001681075,0.000008088437,0.000001466447,0.000003250209,0.0001929818,0.000007868218,0.00010313],"genre_scores_gemma":[0.9992468,0.00006063373,0.0001896438,0.000004504204,0.000002742437,0.000004177715,0.0003269796,0.000003039494,0.0001614955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001675297,"threshold_uncertainty_score":0.003331125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2569348552705709,"score_gpt":0.396685724234702,"score_spread":0.1397508689641311,"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."}}