{"id":"W4405571198","doi":"10.1128/msphere.00668-24","title":"Identification of novel fructo-oligosaccharide bacterial consumers by pulse metatranscriptomics in a human stool sample","year":2024,"lang":"en","type":"article","venue":"mSphere","topic":"Microbial Metabolites in Food Biotechnology","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill Genome Centre; Agriculture and Agri-Food Canada; McGill University","funders":"Canadian Glycomics Network; Canadian Institutes of Health Research; University of Alberta","keywords":"Prebiotic; Fructan; Biology; Metagenomics; Gut flora; Prevotella; Glycan; Inulin; Fructooligosaccharide; Microbiology; Ruminococcus; Glycoside hydrolase; Microbiome; Microbial metabolism; Fermentation; Biochemistry; Bacteria; Gene; Genetics; Fructose; Glycoprotein","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":[0.0002944079,0.0001916474,0.0003421745,0.0001564783,0.00004966997,0.00008048168,0.0003283734,0.0002864707,0.0005322249],"category_scores_gemma":[0.0001633824,0.0002069984,0.0001029775,0.0004593436,0.0001937349,0.0001797516,0.00004268292,0.0003370042,0.00002323681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001107153,"about_ca_system_score_gemma":0.00003353021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009649964,"about_ca_topic_score_gemma":0.0005877381,"domain_scores_codex":[0.9983876,0.00006462488,0.0006727572,0.0004288193,0.0001359749,0.0003102293],"domain_scores_gemma":[0.9993123,0.00008815714,0.0001255849,0.000391758,0.00004354128,0.00003861429],"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":[0.00008863336,0.0001091094,0.0001939887,0.0001660141,0.00005097363,0.000001693222,0.0004187385,0.000005441315,0.9860355,0.001709383,0.001461379,0.009759191],"study_design_scores_gemma":[0.0007588861,0.0000599803,0.0002819696,0.00008857953,0.00009998025,0.000008952835,0.0001543837,0.0003187517,0.9680101,0.0009799586,0.02901516,0.0002232532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909756,0.001976901,0.002095148,0.0005071098,0.002719775,0.0003945226,0.001110889,0.0001606463,0.00005942239],"genre_scores_gemma":[0.9976427,0.00002090726,0.00191286,0.00006086477,0.00006671912,0.00001928817,0.0001594615,0.00004669342,0.00007051085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02755378,"threshold_uncertainty_score":0.8441149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147080109609635,"score_gpt":0.2759861165353488,"score_spread":0.2612781055743853,"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."}}