{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000153976,0.0001793271,0.0001475271,0.00007191518,0.00008639817,0.000285464,0.00006802905,0.000131214,0.0004621915],"category_scores_gemma":[0.0001732513,0.0001002816,0.0001047144,0.00009586618,0.0001514492,0.0001081199,0.0002048922,0.0001799115,0.0002484351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001209888,"about_ca_system_score_gemma":0.0001673962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006336877,"about_ca_topic_score_gemma":0.0008453143,"domain_scores_codex":[0.99989,0.00002677221,0.000005624082,0.00002994847,0.00001792522,0.00002984446],"domain_scores_gemma":[0.9999496,0.000009401707,0.00001328374,0.000004664927,0.000004422523,0.00001869134],"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":[0.0001430413,0.00001071948,0.00761476,0.000017047,0.000005466593,0.00006252969,0.00002475715,0.00006523755,0.989467,0.000063869,0.00004709634,0.002478542],"study_design_scores_gemma":[0.0000231776,0.0009346834,0.2605749,0.0000167612,0.00004409382,0.001307624,0.0004131368,0.002560588,0.7305371,0.0003066231,0.003263808,0.00001752924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979381,0.0006099129,0.0008201419,0.00005931574,0.000004540907,0.000004068118,0.00008949622,0.00001138228,0.0004630933],"genre_scores_gemma":[0.9983536,0.0002410151,0.001002333,0.00002784314,0.000003331029,0.000004263386,0.0001108663,0.00000322151,0.0002535489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006336877,"threshold_uncertainty_score":0.001546204,"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."}}