{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006007176,0.0002680516,0.0003485689,0.0007849446,0.0002873742,0.0005661627,0.0001472476,0.0003515014,0.0006417622],"category_scores_gemma":[0.0006626066,0.0002104723,0.0002977838,0.0007088069,0.0003224513,0.0001818452,0.0002558234,0.0002642714,0.00008128227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002702698,"about_ca_system_score_gemma":0.0001726305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00404762,"about_ca_topic_score_gemma":0.006144405,"domain_scores_codex":[0.9995344,0.0001499068,0.00003325332,0.0001257145,0.00008137657,0.00007545023],"domain_scores_gemma":[0.9994886,0.0001471742,0.0002031704,0.00003446315,0.00004156922,0.0000850617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005279813,0.00006019253,0.901619,0.00003515348,0.0003968156,0.0002358771,0.0002986163,0.0002653976,0.09110116,0.00005188326,0.00004033466,0.005367614],"study_design_scores_gemma":[0.000001492202,0.00002994766,0.9992155,0.000002327416,0.00002698966,0.00008536461,0.00005412538,0.0001642359,0.0003619791,0.00001734092,0.0000386501,0.0000022019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994588,0.0002269194,0.0001681458,0.000008566431,0.000001298169,0.000001085375,0.00006534263,0.000001989498,0.00006783112],"genre_scores_gemma":[0.9995172,0.00008539145,0.000216638,0.00001197158,0.000002974105,0.000001588366,0.00008498548,0.000002272133,0.00007692412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00404762,"threshold_uncertainty_score":0.008048117,"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."}}