{"id":"W4289550372","doi":"10.3389/fmicb.2022.930392","title":"Impact of microcin J25 on the porcine microbiome in a continuous culture model","year":2022,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Probiotics and Fermented Foods","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Muséum National d'Histoire Naturelle; Natural Sciences and Engineering Research Council of Canada; Eidgenössische Technische Hochschule Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Metabolome; Salmonella enterica; Bacteriocin; Microbiology; Lactic acid; Biology; Bacteria; Fermentation; Antibiotics; Lactobacillus reuteri; Escherichia coli; Food science; Microbiome; Salmonella; Lactobacillus; Antimicrobial; Biochemistry; Metabolite; Bioinformatics; 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":[0.0003264492,0.0004507568,0.000416917,0.0002746523,0.0002101729,0.000564414,0.0002645176,0.0004737163,0.0007312622],"category_scores_gemma":[0.000216309,0.0001664471,0.0004974984,0.000208777,0.0002838915,0.0002680871,0.0003744872,0.0005696844,0.0001857271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003332896,"about_ca_system_score_gemma":0.0004163595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002524191,"about_ca_topic_score_gemma":0.0035606,"domain_scores_codex":[0.9996054,0.00007118678,0.00003096189,0.0001039951,0.0001105312,0.00007792569],"domain_scores_gemma":[0.9997265,0.00005232666,0.0000874767,0.00002769,0.00003321255,0.00007273434],"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":[0.0005211181,0.000121322,0.0005450643,0.00005295486,0.000009338552,0.00007732565,0.00002446954,0.0001356019,0.9973454,0.00001518649,0.00003216455,0.001120041],"study_design_scores_gemma":[0.00003953375,0.006112162,0.01513848,0.00001832654,0.00007061054,0.0001824085,0.0001463499,0.001601503,0.9747128,0.00002880671,0.001922999,0.00002589094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973084,0.0005867165,0.0008480847,0.00008960452,0.00003517936,0.000057368,0.0003581563,0.00002137545,0.0006951211],"genre_scores_gemma":[0.9916956,0.0007940712,0.004440473,0.0001791572,0.00001782035,0.00009705463,0.0007508611,0.00001676937,0.00200818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002524191,"threshold_uncertainty_score":0.005019009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009768206934261139,"score_gpt":0.2139080703307571,"score_spread":0.204139863396496,"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."}}