{"id":"W4283528441","doi":"10.1101/2022.06.23.497433","title":"Two unique biological response-modifier glucans beneficially regulating gut microbiota and faecal metabolome in a non-alcoholic steatohepatitis animal model, with potential for applications in human health and disease","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Metabolome; Firmicutes; Gut flora; Biology; Steatohepatitis; Metabolomics; Microbiome; Ruminococcus; Fusobacteria; Bacteroides; Feces; Food science; Lactobacillus reuteri; Lactobacillus; Microbiology; Biochemistry; Bacteria; Fatty liver; Medicine; 16S ribosomal RNA; Disease; Internal medicine; Bioinformatics","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":[0.0001331736,0.0003861554,0.0003156021,0.0002922447,0.0001350763,0.0002904193,0.0001397809,0.0003074472,0.0009190439],"category_scores_gemma":[0.0000999856,0.0001219032,0.0002995632,0.0001583353,0.0002011902,0.0002183799,0.0001804733,0.0006341155,0.0001153724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001942195,"about_ca_system_score_gemma":0.0002750042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005102523,"about_ca_topic_score_gemma":0.00108133,"domain_scores_codex":[0.9999017,0.00001456512,0.000007463231,0.00002437889,0.00002459774,0.00002727456],"domain_scores_gemma":[0.9998976,0.000005619011,0.00003246083,0.000008322103,0.00001386208,0.00004224604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002599987,0.0004553938,0.0006317547,0.00007298056,0.00001831232,0.00004420213,0.0000114242,0.00006486242,0.9933047,0.00004897025,0.00005326809,0.0026941],"study_design_scores_gemma":[0.0003725666,0.01715739,0.04026114,0.00004599673,0.0001925162,0.0002780161,0.0002330171,0.001543621,0.9357705,0.0002321215,0.003876974,0.00003609732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976903,0.0005144543,0.0009584061,0.00009377715,0.00003855024,0.00003723328,0.0003102215,0.00003004902,0.0003269952],"genre_scores_gemma":[0.9932087,0.0008129705,0.003003621,0.0001572369,0.00001344318,0.0001001846,0.0004333629,0.00001455407,0.002255838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009190439,"threshold_uncertainty_score":0.003074527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502258608873291,"score_gpt":0.2736449579385546,"score_spread":0.2586223718498217,"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."}}