{"id":"W2588857516","doi":"10.21037/atm.2017.01.63","title":"The multiple sclerosis microbiome?","year":2017,"lang":"en","type":"letter","venue":"Annals of Translational Medicine","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Multiple Sclerosis Trust; Multiple Sclerosis Society; Multiple Sclerosis Society of Canada; European Committee for Treatment and Research in Multiple Sclerosis; Canadian Institutes of Health Research; Multiple Sclerosis Scientific Research Foundation; U.S. Department of Veterans Affairs; Teva Pharmaceutical Industries; National Multiple Sclerosis Society; Michael Smith Health Research BC; Biogen","keywords":"Multiple sclerosis; Microbiome; Computational biology; Medicine; Bioinformatics; Biology; Immunology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003583799,0.0002104609,0.0002857825,0.00005764572,0.0002883558,0.00001287683,0.0004886744,0.0004817891,0.00003952909],"category_scores_gemma":[0.0001211068,0.000141012,0.0001643318,0.00003567835,0.0005202849,0.000002452554,0.00002761499,0.0003768462,0.000009714585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002305117,"about_ca_system_score_gemma":0.0001479036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008763406,"about_ca_topic_score_gemma":0.00005806121,"domain_scores_codex":[0.9987381,0.00006441833,0.0003834222,0.0002946895,0.0002204587,0.0002989529],"domain_scores_gemma":[0.998703,0.0001070956,0.0003099493,0.0005689511,0.000264182,0.00004681745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004483648,0.000009041093,0.0001126824,0.00008386051,0.0001006217,0.000002648063,0.00002414238,8.547747e-7,0.1565001,0.000009944943,0.8413507,0.001760624],"study_design_scores_gemma":[0.0004870072,0.0001742752,0.004437109,0.0002170166,0.00003022997,0.00001093383,0.000004154728,0.000001892856,0.01018465,0.0001290358,0.9841851,0.0001386238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003243738,0.0102931,0.00008064572,0.9843614,0.0004843328,0.000248333,0.0003215368,0.000005240368,0.0009617227],"genre_scores_gemma":[0.1748644,0.01269318,0.000385109,0.7790478,0.01462121,0.0000402018,0.00860911,0.0001148275,0.009624197],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2053136,"threshold_uncertainty_score":0.5750304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196417419398712,"score_gpt":0.3375959669897108,"score_spread":0.2179542250498396,"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."}}