{"id":"W4406492259","doi":"10.1007/s11427-024-2653-2","title":"Landscapes of gut microbiome and blood metabolomic signatures in relapsing remitting multiple sclerosis","year":2025,"lang":"en","type":"article","venue":"Science China Life Sciences","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Multiple sclerosis; Metabolomics; Relapsing remitting; Gut microbiome; Microbiome; Computational biology; Biology; Bioinformatics; 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":[0.0001665559,0.000119261,0.0003742813,0.000624248,0.0002117424,0.0006267662,0.0001093944,0.0002378828,0.001289799],"category_scores_gemma":[0.0004899001,0.0001266565,0.0002088315,0.0006543554,0.000223063,0.0002705862,0.0004055805,0.0001996682,0.0001262015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043251,"about_ca_system_score_gemma":0.0001428302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009894274,"about_ca_topic_score_gemma":0.001691559,"domain_scores_codex":[0.9998629,0.00003447941,0.000007340817,0.00003561362,0.00001759414,0.00004197254],"domain_scores_gemma":[0.9998242,0.00004303373,0.00006314121,0.00001162096,0.000019668,0.00003830457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004550274,0.0001524633,0.6346276,0.0001575633,0.0007008596,0.0005934995,0.0006423033,0.00251518,0.3029246,0.001360711,0.001107616,0.05066722],"study_design_scores_gemma":[0.00001397779,0.0001650698,0.992657,0.00001224997,0.0001180045,0.0003999533,0.0005065809,0.002227854,0.001781741,0.001429414,0.0006730014,0.00001520727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987815,0.0003663407,0.0002145351,0.00007418505,0.000001958806,0.000001931633,0.0002662553,0.000008051155,0.0002852186],"genre_scores_gemma":[0.9993435,0.0001230717,0.0001540518,0.0000378422,0.000003638573,0.000003511002,0.0001948564,0.000003930111,0.0001355582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001289799,"threshold_uncertainty_score":0.00431478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170937222145484,"score_gpt":0.2615339736422397,"score_spread":0.2498246014207849,"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."}}