{"id":"W4200035309","doi":"10.1212/wnl.0000000000013245","title":"Metagenomic Analysis of the Pediatric-Onset Multiple Sclerosis Gut Microbiome","year":2021,"lang":"en","type":"article","venue":"Neurology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Multiple sclerosis; Metagenomics; Microbiome; Medicine; Odds ratio; Internal medicine; Biology; Disease; Immunology; Bioinformatics; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007288001,0.0004757078,0.0005724628,0.001995769,0.0006417493,0.0008254825,0.0003304437,0.0003205439,0.0008893688],"category_scores_gemma":[0.0009930236,0.0002014405,0.001059102,0.001729297,0.0001841991,0.0003142255,0.0006262655,0.0003812692,0.0001633307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006150585,"about_ca_system_score_gemma":0.0007528716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01452333,"about_ca_topic_score_gemma":0.01950162,"domain_scores_codex":[0.9996105,0.00008708518,0.0000253853,0.0001232095,0.00007676948,0.00007711788],"domain_scores_gemma":[0.9995932,0.00009811729,0.00009050064,0.00005329027,0.0001078531,0.00005709366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001190426,0.000120496,0.7939066,0.0006988239,0.002978488,0.0003369885,0.0007938122,0.002760783,0.1582721,0.0003251699,0.001064522,0.03755176],"study_design_scores_gemma":[0.00001669191,0.0002684151,0.9747736,0.0000766379,0.0007804745,0.0004813595,0.0008265776,0.00668993,0.01183629,0.0004995361,0.003718682,0.00003182677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812191,0.002808395,0.005240517,0.0001814217,0.00002258086,0.00005422475,0.00966931,0.00009799901,0.0007063436],"genre_scores_gemma":[0.9829872,0.0008928986,0.00770545,0.0001204211,0.00001798982,0.00004644745,0.007895758,0.0000340474,0.0002999112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01452333,"threshold_uncertainty_score":0.02887756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841541017019163,"score_gpt":0.2314456413899393,"score_spread":0.2130302312197477,"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."}}