{"id":"W2793842278","doi":"10.1093/jcag/gwy009.098","title":"A98 PLASMA BIOMARKER MAY DETECT DISEASE-DEPENDENT ALTERATIONS IN GUT MICROBIOTA IN IBD: A PILOT STUDY","year":2018,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Gut flora; Bacteroides; Microbiome; Lactobacillus; Bifidobacterium; Microbiology; Internal medicine; Choline; Prevotella; Biomarker; Ulcerative colitis; Gastroenterology; Metabolome; Dysbiosis; Trimethylamine N-oxide; Feces; Population; Metabolite; Chemistry; Medicine; Biology; Immunology; Food science; Bacteria; Disease; Biochemistry; Bioinformatics; Trimethylamine","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":[0.001089894,0.0007081385,0.0006720024,0.0004447569,0.0004193372,0.0007794441,0.0002515247,0.0008919049,0.001674576],"category_scores_gemma":[0.001528216,0.0002547962,0.0004628104,0.0003801671,0.0003481536,0.0004101647,0.0003598349,0.0006653643,0.0004498734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002299347,"about_ca_system_score_gemma":0.0003015567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005136766,"about_ca_topic_score_gemma":0.0005395678,"domain_scores_codex":[0.9995147,0.000160343,0.00003091188,0.0001461912,0.00008756683,0.00006036729],"domain_scores_gemma":[0.9992402,0.0001703762,0.0001404943,0.00008082659,0.0001431295,0.0002250343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05517304,0.0102978,0.7304057,0.0005097821,0.0009045487,0.0009735018,0.0007706948,0.0002636877,0.1519144,0.000130562,0.0009529834,0.04770325],"study_design_scores_gemma":[0.001268481,0.06579364,0.9104791,0.00004914444,0.0008152639,0.00177893,0.0003712646,0.00148845,0.01441928,0.0001353747,0.003359289,0.00004184615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974598,0.0008885031,0.00061059,0.00004706833,0.0000343709,0.000188082,0.0002137969,0.00002539836,0.0005324408],"genre_scores_gemma":[0.9977767,0.0001951563,0.0008560662,0.00010595,0.00002871038,0.0001548663,0.0002820195,0.000005988983,0.0005945571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001674576,"threshold_uncertainty_score":0.005764008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276121600370307,"score_gpt":0.2532501253223444,"score_spread":0.2404889093186414,"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."}}