{"id":"W3208925949","doi":"10.1021/acschembio.1c00563","title":"Configured for the Human Gut Microbiota: Molecular Mechanisms of Dietary β-Glucan Utilization","year":2021,"lang":"en","type":"review","venue":"ACS Chemical Biology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Biology; Polysaccharide; Gut flora; Biochemistry; Context (archaeology); Human gastrointestinal tract; Population; Human microbiome; Microbiome; Human health; Microbiology; Computational biology; Genetics; Gastrointestinal tract","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002094295,0.0004970306,0.000270009,0.0003984037,0.0001880508,0.0007982011,0.0001808539,0.0004138456,0.0006486743],"category_scores_gemma":[0.0001616507,0.0001401308,0.0002692829,0.0003387796,0.0004016043,0.0004091421,0.0003701824,0.0004423277,0.0003494096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001886387,"about_ca_system_score_gemma":0.000264287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004403586,"about_ca_topic_score_gemma":0.0003470466,"domain_scores_codex":[0.9998738,0.0000252837,0.000007429943,0.00003360829,0.00002912488,0.00003091803],"domain_scores_gemma":[0.999927,0.000007972898,0.00002371766,0.000008694349,0.00001216715,0.00002042158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003747052,0.00005651314,0.01265965,0.0005484956,0.00005522382,0.0005862367,0.0002370638,0.000276623,0.902018,0.004565257,0.0003811543,0.07824095],"study_design_scores_gemma":[0.00004303372,0.001359845,0.3053062,0.0003564266,0.0002882522,0.005217181,0.001259264,0.002605693,0.6281928,0.01118462,0.04408811,0.0000986602],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8455791,0.1032811,0.03770285,0.001955216,0.0002234664,0.0001248866,0.0007736388,0.0002996906,0.01006015],"genre_scores_gemma":[0.9512232,0.03100164,0.01419748,0.0005061743,0.0001248853,0.00005934899,0.0004315333,0.0000179903,0.002437776],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0007982011,"threshold_uncertainty_score":0.002170026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06769692670426264,"score_gpt":0.3750643699703294,"score_spread":0.3073674432660667,"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."}}