{"id":"W4406502219","doi":"10.1101/2025.01.16.25320672","title":"Genetic determinants of Multiple Sclerosis susceptibility in diverse ancestral backgrounds","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Bacillus and Francisella bacterial research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Guarantors of Brain; Barts Charity; Medical Research Council; Aims2Cure","keywords":"Multiple sclerosis; Evolutionary biology; Genetics; Biology; Genealogy; Geography; History; 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":[0.001015263,0.000281558,0.000449924,0.0007508461,0.0006787798,0.0007104272,0.0002651196,0.0003203352,0.002112862],"category_scores_gemma":[0.003115253,0.0002092285,0.0004368929,0.001333564,0.0005376281,0.0002359299,0.001080645,0.0004017933,0.0002109919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002451057,"about_ca_system_score_gemma":0.0001333333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006855186,"about_ca_topic_score_gemma":0.006323871,"domain_scores_codex":[0.9989042,0.0004709441,0.00009888721,0.0003262424,0.0001134881,0.0000862832],"domain_scores_gemma":[0.998588,0.0004901151,0.0004109662,0.0002800152,0.0001088519,0.0001220689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008446195,0.00003047402,0.9755523,0.00003648464,0.0003715025,0.0008283277,0.001256517,0.0003398818,0.0169096,0.0003682046,0.0001382119,0.003323889],"study_design_scores_gemma":[0.00002718108,0.00006610444,0.9971009,0.00001596571,0.0001071455,0.0007031404,0.0002498748,0.0004662404,0.0005830067,0.0002347093,0.0004382468,0.000007536735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990585,0.00007982465,0.0003397616,0.00002472442,0.000001307635,0.000005305172,0.0002701695,0.000002694737,0.0002176952],"genre_scores_gemma":[0.9992348,0.0000460156,0.0003000935,0.00001581832,0.000002178804,0.000005534976,0.0002942333,0.000003701926,0.00009762251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006855186,"threshold_uncertainty_score":0.01363057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06383137070844674,"score_gpt":0.3072898093717237,"score_spread":0.243458438663277,"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."}}