{"id":"W4223494338","doi":"10.1111/jam.15573","title":"Characterization of microbial intolerances and ruminal dysbiosis towards different dietary carbohydrate sources using an in vitro model","year":2022,"lang":"en","type":"article","venue":"Journal of Applied Microbiology","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Christian Doppler Forschungsgesellschaft; Bundesministerium für Digitalisierung und Wirtschaftsstandort; Österreichische Nationalstiftung für Forschung, Technologie und Entwicklung","keywords":"Food science; Fibrobacter succinogenes; Pentose; Lactic acid; Biology; Bifidobacterium; Lactobacillus; Prebiotic; Rumen; Fermentation; Bifidobacterium breve; Metabolome; Biochemistry; Chemistry; Microbiology; Bacteria; Metabolite","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003762711,0.0008822936,0.0005972688,0.0002601177,0.0002083109,0.0005817544,0.0003718022,0.0005131693,0.0006557344],"category_scores_gemma":[0.0001887791,0.0001795735,0.0005529149,0.0002060978,0.0002777083,0.0002808786,0.0005083985,0.0008093023,0.0002963126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003329644,"about_ca_system_score_gemma":0.0002527975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001233324,"about_ca_topic_score_gemma":0.001273484,"domain_scores_codex":[0.9996637,0.00007042176,0.00002859084,0.00009931799,0.00008322032,0.00005473375],"domain_scores_gemma":[0.9997935,0.00004142817,0.00006470713,0.00003370811,0.00002865095,0.00003803679],"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":[0.0001842046,0.00006971731,0.0004287841,0.00003861407,0.00001069715,0.00003127606,0.00001115909,0.0001549254,0.9985317,0.00001808001,0.000009125101,0.000511731],"study_design_scores_gemma":[0.00002058946,0.001853047,0.009135433,0.00001654968,0.00008152582,0.000191407,0.00007001394,0.003642594,0.9838546,0.00007361516,0.001045335,0.0000152422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896925,0.001716051,0.006689716,0.00008404217,0.00004832095,0.00007698336,0.0005526656,0.00004003782,0.001099743],"genre_scores_gemma":[0.9874936,0.001421445,0.007726389,0.00009159441,0.00002300939,0.0001115403,0.00109042,0.00002087797,0.002021268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001233324,"threshold_uncertainty_score":0.002452314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0224591840537638,"score_gpt":0.2174263229119399,"score_spread":0.1949671388581761,"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."}}