{"id":"W3014365043","doi":"10.1128/mbio.00095-20","title":"Synergy between Cell Surface Glycosidases and Glycan-Binding Proteins Dictates the Utilization of Specific Beta(1,3)-Glucans by Human Gut <i>Bacteroides</i>","year":2020,"lang":"en","type":"article","venue":"mBio","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":91,"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; Canadian Institutes of Health Research; National Institutes of Health; National Institute of General Medical Sciences; Government of Canada","keywords":"Glycan; Bacteroides; BETA (programming language); Chemistry; Microbiology; Cell; Plasma protein binding; Biochemistry; Cell biology; Bacteria; Computational biology; Biology; Glycoprotein; Computer science; Genetics","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":[0.00009103338,0.0001502232,0.0001770652,0.00001315233,0.0001677128,0.0000328458,0.000171906,0.0001081728,0.00001895245],"category_scores_gemma":[0.000008537661,0.0001221971,0.00004739423,0.00009663599,0.0001198915,0.000005000317,0.00009350789,0.0000930131,0.000004063174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009892006,"about_ca_system_score_gemma":0.00003644223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001154143,"about_ca_topic_score_gemma":0.00003598136,"domain_scores_codex":[0.9990878,0.00006658589,0.0002398267,0.0003031579,0.00008216176,0.0002204454],"domain_scores_gemma":[0.9995188,0.00001576175,0.0001310004,0.000197836,0.00003929382,0.00009734205],"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":[0.00001761681,0.00002642963,0.01648942,0.00006670609,0.00001778976,4.317471e-7,0.0001670423,0.000002600256,0.9757763,0.00002244056,0.007237096,0.0001761364],"study_design_scores_gemma":[0.0003663723,0.0003288539,0.008808157,0.00001812391,0.00001992822,0.000001195253,0.0001481024,0.000003713323,0.9320521,0.000006287546,0.05811202,0.0001350837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962977,0.001770047,0.0003518889,0.0007382489,0.00002770621,0.0002797995,0.0002638722,0.00001292613,0.0002577926],"genre_scores_gemma":[0.9982272,0.0003563521,0.0001352266,0.0002145165,0.0001116475,0.000004561663,0.0006801242,0.00002343988,0.0002469569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05087493,"threshold_uncertainty_score":0.4983054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02619501584862868,"score_gpt":0.2495731283925449,"score_spread":0.2233781125439162,"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."}}