{"id":"W4407149329","doi":"10.3390/biomedicines13020357","title":"Identifying Biomarkers for Remyelination and Recovery in Multiple Sclerosis: A Measure of Progress","year":2025,"lang":"en","type":"review","venue":"Biomedicines","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Brugmann Foundation; Uniwersytet Warszawski; Koning Boudewijnstichting; Genesis Pharma; Alexion Pharmaceuticals; Teva Pharmaceutical Industries; Warszawski Uniwersytet Medyczny; Celltrion; Tourette Association of America; Ministerstwo Zdrowia; Biogen; Guthy-Jackson Charitable Foundation; Sanofi; Fondation Charcot; Fondazione Italiana Sclerosi Multipla; AstraZeneca; Eli Lilly and Company; Amgen","keywords":"Remyelination; Multiple sclerosis; Myelin; Medicine; Neuroscience; Magnetic resonance imaging; Regeneration (biology); Clinical trial; Pathology; Biology; Radiology; Central nervous system; Immunology","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":[0.002452477,0.0009565458,0.00203024,0.005844921,0.0002260978,0.001471434,0.0008052621,0.001259983,0.002292661],"category_scores_gemma":[0.004877813,0.0002528891,0.001081088,0.004534394,0.0006004417,0.001520534,0.0006295645,0.001019189,0.0007471819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003982,"about_ca_system_score_gemma":0.002031802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001276107,"about_ca_topic_score_gemma":0.001928627,"domain_scores_codex":[0.9987921,0.0004024153,0.00026591,0.0001290082,0.0003679394,0.00004265415],"domain_scores_gemma":[0.9974847,0.001483916,0.0004788578,0.00003984711,0.0004600993,0.00005265666],"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":[0.0001885526,0.00005941174,0.001027169,0.1763419,0.0008827602,0.0001214726,0.0001656183,0.000222363,0.001036325,0.002927463,0.01404199,0.8029851],"study_design_scores_gemma":[0.00009206405,0.0005218589,0.009747401,0.2064365,0.004898332,0.002739064,0.0005734228,0.0002858921,0.001805826,0.004835033,0.7679633,0.000101311],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007338179,0.9993686,0.00005195292,0.0001803934,0.00008037368,0.000006164324,0.00002111089,0.000002266048,0.0002157806],"genre_scores_gemma":[0.001474795,0.9979047,0.0002396224,0.0001479219,0.00008373839,0.00001498751,0.00002653389,8.358813e-7,0.0001069244],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005844921,"threshold_uncertainty_score":0.01297009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2331040464087978,"score_gpt":0.4125824608272997,"score_spread":0.1794784144185019,"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."}}