{"id":"W4229532869","doi":"10.1101/2021.06.02.446819","title":"The Food Additive Xanthan Gum Drives Adaptation of the Human Gut Microbiota","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Polysaccharides Composition and Applications","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; University of Michigan Center for Gastrointestinal Research; National Institutes of Health; Norges Forskningsråd; University of Michigan","keywords":"Xanthan gum; Glycoside hydrolase; Polysaccharide; Bacteroides; Prebiotic; Biology; Food science; Biochemistry; Gut flora; Bacteria; Enzyme; Microbiology; Chemistry; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002027651,0.0002578211,0.0002393091,0.00002089179,0.0008150884,0.0002454805,0.0008717591,0.0002146774,0.00006255937],"category_scores_gemma":[0.00006126516,0.0001012249,0.0002187212,0.0006086496,0.0002358142,0.00006659319,0.0005324341,0.0003806605,0.000008810998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006194712,"about_ca_system_score_gemma":0.00009173476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008253281,"about_ca_topic_score_gemma":0.0001293265,"domain_scores_codex":[0.9984559,0.0001604155,0.0003814176,0.0004853944,0.0002394253,0.0002774765],"domain_scores_gemma":[0.9984866,0.0001404633,0.0004728822,0.0003943186,0.0004179636,0.00008775196],"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":[0.000002356166,0.00007464438,0.0007938575,0.00001107295,0.00005429339,5.291316e-7,0.00001327032,0.000008132064,0.9969614,0.001907748,0.0001512358,0.00002146366],"study_design_scores_gemma":[0.00009139947,0.0000446511,0.4080811,0.0002248342,0.00005586863,1.506253e-8,0.00009457001,0.00006843537,0.5837799,0.00001253123,0.007244996,0.0003016784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996146,0.0005599984,0.00003576019,0.001633044,0.0003521452,0.0005018977,0.0006735337,0.00008321794,0.00001438613],"genre_scores_gemma":[0.9991263,0.0001305001,0.0001927482,0.0001238742,0.0002526503,0.0001543019,0.000002708127,0.000004760629,0.00001222612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4131815,"threshold_uncertainty_score":0.6269084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0186931760944276,"score_gpt":0.2090134182832893,"score_spread":0.1903202421888616,"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."}}