{"id":"W4385973218","doi":"10.1016/j.msard.2023.104937","title":"CNS resilience in the progression of MS","year":2023,"lang":"en","type":"editorial","venue":"Multiple Sclerosis and Related Disorders","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Multiple sclerosis; Scopus; Genome-wide association study; Genomics; Genetics; Epigenetics; Resilience (materials science); Genome; Medicine; Biology; Computational biology; MEDLINE; Gene; Genotype; Psychiatry; Single-nucleotide polymorphism","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001365266,0.0004238755,0.0008508119,0.000420215,0.0002444298,0.00004509784,0.0004074964,0.0009324494,0.00002810591],"category_scores_gemma":[0.008279525,0.0002592164,0.0002434131,0.001091181,0.0008040095,0.00008149668,0.0003062238,0.001701904,0.00002455064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000540445,"about_ca_system_score_gemma":0.0001872663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001036474,"about_ca_topic_score_gemma":0.001008364,"domain_scores_codex":[0.9958365,0.0002945858,0.0008088128,0.0007410624,0.001668654,0.0006503774],"domain_scores_gemma":[0.9952832,0.003410581,0.0003107035,0.0006468169,0.0002130755,0.0001356054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004970166,0.0006092216,0.01464514,0.0009433486,0.0002570998,0.00001397366,0.003301592,0.00005360595,0.001565191,0.000007041031,0.9284959,0.04961092],"study_design_scores_gemma":[0.01540243,0.001711882,0.5325237,0.01165372,0.0003880827,0.000002264868,0.005998292,0.003094275,0.0001679838,0.00009980072,0.4279574,0.001000217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.1404864,0.01800206,0.000009812987,0.006791016,0.8194963,0.00776867,0.0006153495,0.0004500814,0.006380331],"genre_scores_gemma":[0.7742221,0.163668,0.0001852636,0.00003435191,0.05930407,0.0007192305,0.0006554483,0.000213299,0.0009982161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7601922,"threshold_uncertainty_score":0.999986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03206027442023911,"score_gpt":0.3117704720261226,"score_spread":0.2797101976058835,"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."}}