{"id":"W2790323868","doi":"10.1128/msphere.00017-18","title":"Air-Dried Brown Seaweed, <i>Ascophyllum nodosum</i> , Alters the Rumen Microbiome in a Manner That Changes Rumen Fermentation Profiles and Lowers the Prevalence of Foodborne Pathogens","year":2018,"lang":"en","type":"article","venue":"mSphere","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadian Seaplants (Canada); Agriculture Food and Rural Development; Agriculture and Agri-Food Canada; University of Alberta","funders":"","keywords":"Rumen; Ascophyllum; Biology; Fermentation; Feces; Population; Microbiome; Food science; Butyrate; Microbiology; Animal science; Botany; Algae","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":[0.0001373228,0.0002499948,0.0001736348,0.0001482696,0.0001599513,0.0003349348,0.0001087513,0.000179471,0.0008411413],"category_scores_gemma":[0.0001074553,0.00006872904,0.0002007209,0.0001176899,0.0001823296,0.0001798398,0.0002110259,0.0002572518,0.0001356388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000185648,"about_ca_system_score_gemma":0.0001764648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009663058,"about_ca_topic_score_gemma":0.002123876,"domain_scores_codex":[0.9999219,0.00001517614,0.000006445659,0.00002019037,0.00002142558,0.00001478098],"domain_scores_gemma":[0.9998937,0.00001357539,0.0000432045,0.000008432415,0.00001192574,0.00002927341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002327032,0.00003354138,0.0007738617,0.00003713124,0.000009691762,0.00002172588,0.000007961573,0.00002468589,0.9974312,0.00001670219,0.00001356499,0.001397158],"study_design_scores_gemma":[0.00002165493,0.002957245,0.03552424,0.00001903358,0.00007288402,0.0001789601,0.0001621765,0.0005008832,0.9577539,0.00005180533,0.002747346,0.000009884214],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988506,0.0002417802,0.0003989776,0.00002336914,0.00001292889,0.000007899067,0.00008774414,0.00001294862,0.0003636082],"genre_scores_gemma":[0.9971468,0.0002969076,0.001368342,0.00005711765,0.000005639299,0.000007366144,0.000176114,0.00000882657,0.0009330151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009663058,"threshold_uncertainty_score":0.002813876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915953920113603,"score_gpt":0.2205727151550127,"score_spread":0.2014131759538767,"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."}}