{"id":"W4408279503","doi":"10.1073/pnas.2424986122","title":"Antibody reactivity against EBNA1 and GlialCAM differentiates multiple sclerosis patients from healthy controls","year":2025,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"U.S. Army Medical Research Acquisition Activity; National Institute of Allergy and Infectious Diseases; National Institutes of Health; Vetenskapsrådet; Knut och Alice Wallenbergs Stiftelse; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Svenska Forskningsrådet Formas","keywords":"Molecular mimicry; Antibody; Immunology; Epitope; Multiple sclerosis; Antigen; Autoantibody; Biology; Population; Human leukocyte antigen; Medicine","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":[0.0002651148,0.0004583588,0.0003841888,0.001288346,0.0003655398,0.0004834595,0.0001995173,0.0005349383,0.001717057],"category_scores_gemma":[0.001184974,0.000249205,0.0002280448,0.0004580329,0.0002613268,0.0003094259,0.0003617137,0.0002868317,0.0003087028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001771058,"about_ca_system_score_gemma":0.00008754206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001709775,"about_ca_topic_score_gemma":0.001152467,"domain_scores_codex":[0.9996623,0.00005208925,0.00003964442,0.000139277,0.00005413951,0.00005255314],"domain_scores_gemma":[0.9995705,0.0001071083,0.0001358994,0.00003439,0.00003376932,0.000118409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009182449,0.00009590805,0.9863181,0.00002687617,0.000103219,0.0004361478,0.0002835238,0.00003515316,0.007692345,0.00003552949,0.00008282469,0.003972215],"study_design_scores_gemma":[0.00001430892,0.0002098446,0.9980894,0.000004146622,0.00003990105,0.000987886,0.0001118692,0.00006874193,0.0003087067,0.00002417166,0.0001381498,0.00000299728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996067,0.0001064713,0.0000293467,0.000005389519,0.000002492809,0.000003811269,0.00003109124,0.000002925696,0.0002118238],"genre_scores_gemma":[0.9996914,0.00006293319,0.00002863601,0.00001059746,0.000005799449,0.000005571168,0.0000895656,0.000001379053,0.0001041502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001717057,"threshold_uncertainty_score":0.005744159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0750534427643858,"score_gpt":0.3544819199993748,"score_spread":0.279428477234989,"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."}}