{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003287886,0.0006853741,0.000746942,0.0008733444,0.0003915816,0.0006302609,0.0002113795,0.0007785414,0.0007381626],"category_scores_gemma":[0.0005574208,0.0003310232,0.0006233123,0.0009155043,0.0002430212,0.0002259726,0.0004391958,0.0005944443,0.000483415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001308934,"about_ca_system_score_gemma":0.0002441844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00109353,"about_ca_topic_score_gemma":0.001406178,"domain_scores_codex":[0.9995118,0.00006651975,0.00003614361,0.0001786184,0.000144781,0.00006218491],"domain_scores_gemma":[0.9997525,0.00005757598,0.00004724617,0.00001801578,0.00008700523,0.00003780158],"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":[0.0003306506,0.000118709,0.01407083,0.0001733835,0.00003959489,0.0003119623,0.0001900455,0.0001001808,0.9793385,0.00002089467,0.0001152249,0.005190108],"study_design_scores_gemma":[0.00005900977,0.002098043,0.1953565,0.0001450537,0.0004771318,0.003298186,0.001639674,0.007567966,0.7815453,0.0002987572,0.007430003,0.00008440547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706048,0.001355325,0.01995161,0.0003201192,0.0001079816,0.0004326052,0.006166341,0.0001573237,0.0009038324],"genre_scores_gemma":[0.9265526,0.001558803,0.06079514,0.0005389049,0.0001092183,0.0004521087,0.007513823,0.0001292788,0.002350164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00109353,"threshold_uncertainty_score":0.00246942,"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."}}