{"id":"W4400289632","doi":"10.1038/s41598-024-64369-x","title":"Identification of commensal gut microbiota signatures as predictors of clinical severity and disease progression in multiple sclerosis","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Genentech; NOVARTIS Foundation (Japan) for the Promotion of Science; Patient-Centered Outcomes Research Institute; National Institute of Neurological Disorders and Stroke; Sanofi; National Institute of Allergy and Infectious Diseases; Chugai Pharmaceutical; Division of Intramural Research, National Institute of Allergy and Infectious Diseases; Roche; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Akkermansia; Microbiome; Lachnospiraceae; Disease; Biology; Multiple sclerosis; Gut flora; Akkermansia muciniphila; Metagenomics; Expanded Disability Status Scale; Immunology; Medicine; Internal medicine; Bioinformatics; Bacteroides; Genetics","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":[0.0005917391,0.0003356724,0.0004009706,0.0008723107,0.0003431352,0.000684243,0.0001487396,0.0004349519,0.001031693],"category_scores_gemma":[0.001355406,0.0001513525,0.0003303779,0.000688204,0.0001775634,0.0003237132,0.0004083648,0.0004557677,0.0001939189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001348425,"about_ca_system_score_gemma":0.000142615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001556927,"about_ca_topic_score_gemma":0.001792478,"domain_scores_codex":[0.9997359,0.00007828262,0.00003478464,0.00006336334,0.00004926353,0.00003839975],"domain_scores_gemma":[0.9989924,0.000189081,0.0004247586,0.00005043976,0.0001667627,0.0001765774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004036425,0.0000454084,0.9918988,0.00002031268,0.0000700191,0.00006399239,0.00004880506,0.00008192749,0.004053803,0.000007660321,0.00005562301,0.003250033],"study_design_scores_gemma":[0.000004061068,0.0001473316,0.9987332,0.000005936009,0.00002671035,0.0001809424,0.00007479994,0.0004450894,0.0002763287,0.00002083317,0.00008240958,0.000002425883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992397,0.0003385752,0.00009691789,0.00001658748,0.000003840444,0.000005016249,0.0001606732,0.000004301035,0.0001345237],"genre_scores_gemma":[0.9995764,0.00006359616,0.0001353957,0.000007714052,0.000004716567,0.000003320593,0.0001311605,0.000001041511,0.00007664338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001556927,"threshold_uncertainty_score":0.003451347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02556416503993681,"score_gpt":0.3317257105859248,"score_spread":0.306161545545988,"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."}}