{"id":"W4387099303","doi":"10.1038/s41598-023-43097-8","title":"Multi-breed host rumen epithelium transcriptome and microbiome associations and their relationship with beef cattle feed efficiency","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Guelph","funders":"Agriculture and Agri-Food Canada; Beef Farmers of Ontario; Ontario Ministry of Agriculture, Food and Rural Affairs; Beef Cattle Research Council; Ontario Ministry of Research and Innovation; Ontario Agri-Food Innovation Alliance; Alberta Beef Producers","keywords":"Biology; Beef cattle; Transcriptome; Rumen; Residual feed intake; Microbiome; Breed; Illumina dye sequencing; Animal science; Gene; RNA-Seq; Genetics; Feed conversion ratio; Gene expression; Food science; DNA sequencing; Fermentation","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":[0.0003237792,0.0001604532,0.0002801212,0.0004046677,0.0002140418,0.0006263076,0.00007169913,0.0002087851,0.0009843947],"category_scores_gemma":[0.0002692344,0.0001271499,0.0001735448,0.0003758703,0.0001527632,0.000149933,0.0002527423,0.0002178225,0.0001324979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001358707,"about_ca_system_score_gemma":0.0001306116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001369048,"about_ca_topic_score_gemma":0.002151178,"domain_scores_codex":[0.9998307,0.00002929472,0.000009177074,0.00005777983,0.00003297701,0.00003992377],"domain_scores_gemma":[0.9997434,0.00005052633,0.00009929645,0.00001524549,0.00003859267,0.00005291166],"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":[0.001250341,0.00006975804,0.4190012,0.0001072401,0.0002174979,0.0001279747,0.0002703221,0.0001719384,0.5713841,0.00004677584,0.00009666148,0.007256249],"study_design_scores_gemma":[0.000002159958,0.00006945322,0.9949608,0.000003507398,0.0000318037,0.0001331902,0.0001507143,0.0003149497,0.004153738,0.00001952512,0.0001575456,0.000002648498],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992576,0.0002397249,0.0002131389,0.00001026754,0.000001765346,0.000001214312,0.0001817962,0.00000358301,0.00009093068],"genre_scores_gemma":[0.998942,0.00009722946,0.0003535276,0.00001389082,0.000003373956,0.000004090103,0.000275863,0.000003360857,0.0003067965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001369048,"threshold_uncertainty_score":0.003293157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02814114833485134,"score_gpt":0.2320885482013103,"score_spread":0.2039473998664589,"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."}}