{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00126643,0.0001937241,0.0007225915,0.0002564316,0.0001433132,0.00001297669,0.0002958324,0.00006522374,0.003068272],"category_scores_gemma":[0.002441919,0.0001776186,0.0002486466,0.0004745643,0.0004225034,0.00005752289,0.0008775866,0.001012001,0.00009808819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006313252,"about_ca_system_score_gemma":0.00005051021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008275962,"about_ca_topic_score_gemma":0.0001907025,"domain_scores_codex":[0.9968106,0.0005053261,0.0007789941,0.0006586267,0.000762601,0.0004838508],"domain_scores_gemma":[0.9975333,0.001407107,0.0001658789,0.0005918142,0.0001162586,0.0001857061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000660525,0.001043169,0.9674042,0.00008545153,0.00004194725,0.000125466,0.0001270802,0.00001162307,0.01028022,0.00000208483,0.003885195,0.01633301],"study_design_scores_gemma":[0.003514152,0.0009839379,0.9894624,0.00004491504,0.00003212463,0.0000174009,0.000138711,0.003111183,0.000384214,0.000005701526,0.002176347,0.0001288614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934472,0.0002219164,0.00001579425,0.004534438,0.0002989151,0.0006146334,0.0000489655,0.00004111213,0.0007770034],"genre_scores_gemma":[0.9968123,0.0003934227,0.0005756897,0.001630406,0.0001843185,0.0001660626,0.00001820787,0.00004195055,0.0001776628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02205823,"threshold_uncertainty_score":0.9978431,"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."}}