{"id":"W2953135971","doi":"10.1186/s40168-019-0699-1","title":"Host genetics influence the rumen microbiota and heritable rumen microbial features associate with feed efficiency in cattle","year":2019,"lang":"en","type":"article","venue":"Microbiome","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":558,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Livestock and Meat Agency; University of Alberta; Alberta Innovates - Technology Futures; Alberta Agriculture and Forestry","keywords":"Rumen; Biology; Heritability; Host (biology); Microbiome; Genetic variation; Microbial ecology; Genetics; Single-nucleotide polymorphism; Breed; Bacteria; Fermentation; Digestion (alchemy); Animal science; Food science; Genotype; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000153341,0.0001845888,0.0002257876,0.00002390331,0.0001708063,0.0001041608,0.000289851,0.0001157883,0.00008085205],"category_scores_gemma":[0.00000911097,0.00006786231,0.00003904188,0.0004196662,0.0002028523,0.00008347874,0.0001319312,0.0001591231,0.00009318264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004259668,"about_ca_system_score_gemma":0.000014438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004810017,"about_ca_topic_score_gemma":0.0006174074,"domain_scores_codex":[0.9988781,0.00008738715,0.0001731179,0.0003687846,0.00006740556,0.0004251573],"domain_scores_gemma":[0.9996228,0.00009298824,0.00008934763,0.00008759287,0.00005554612,0.00005171391],"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":[0.00004958125,0.0001014624,0.02248164,0.00000912961,0.000007578156,0.000001832351,0.0001250305,0.000006660329,0.9763175,0.0000177158,0.0005537667,0.0003280787],"study_design_scores_gemma":[0.0005807982,0.0003513593,0.9212437,0.00005704188,0.000007635927,0.00004386509,0.0002391973,0.000002395981,0.0663767,0.00003675457,0.01080277,0.0002577768],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961537,0.0005693929,1.246065e-7,0.002432193,0.00006542137,0.0003984777,0.0001380863,0.00002511991,0.0002175166],"genre_scores_gemma":[0.9981825,0.00006791981,0.00005562794,0.0006250068,0.00003619519,0.000009157382,0.00005757,0.000002285429,0.0009636876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9099408,"threshold_uncertainty_score":0.2767345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005244700857976964,"score_gpt":0.1889099730353703,"score_spread":0.1836652721773933,"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."}}