{"id":"W2790193431","doi":"10.1016/j.ijfoodmicro.2018.02.021","title":"Genetic and phenotypic analysis of carbohydrate metabolism and transport in Lactobacillus reuteri","year":2018,"lang":"en","type":"article","venue":"International Journal of Food Microbiology","topic":"Digestive system and related health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Lactobacillus reuteri; Maltose; Raffinose; Biology; Biochemistry; Carbohydrate; Cellobiose; Glycoside hydrolase; Sucrose; Catabolite repression; Major facilitator superfamily; Lactose; Fermentation; Microbiology; Enzyme; Lactobacillus; Gene; Mutant; Cellulase","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":[0.0002494268,0.0007066655,0.0005391383,0.0008048977,0.0003775547,0.0006997578,0.0007486798,0.00055976,0.001031723],"category_scores_gemma":[0.0005135243,0.0003333728,0.0006327553,0.000833434,0.0004891999,0.0002682597,0.000700061,0.000979514,0.0006402376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007649445,"about_ca_system_score_gemma":0.0005050279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004781172,"about_ca_topic_score_gemma":0.003256301,"domain_scores_codex":[0.9994835,0.0000893235,0.00008819853,0.00008330672,0.0001629412,0.00009274791],"domain_scores_gemma":[0.9995632,0.00009985491,0.0001398495,0.00006232763,0.00006671224,0.00006807462],"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":[0.0001885364,0.0001040389,0.0002379535,0.00002343518,0.000008134481,0.00008478273,0.00003977732,0.0001130671,0.9981249,0.00005732983,0.00002106369,0.0009970044],"study_design_scores_gemma":[0.00002590288,0.0004651038,0.01877351,0.00001150001,0.0000608992,0.000622283,0.0003242425,0.001285583,0.97697,0.00006779526,0.001362392,0.00003087964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958521,0.0003080946,0.001134964,0.0002008427,0.00001704313,0.00004625897,0.001050657,0.00005518078,0.001334656],"genre_scores_gemma":[0.9912948,0.0002637791,0.002609926,0.00007386733,0.00001135808,0.00005086355,0.002259361,0.00009370811,0.003342333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004781172,"threshold_uncertainty_score":0.009506702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007330647085363677,"score_gpt":0.248763830375506,"score_spread":0.2414331832901423,"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."}}