{"id":"W3026313426","doi":"10.1186/s40168-020-00819-8","title":"Multi-omics reveals that the rumen microbiome and its metabolome together with the host metabolome contribute to individualized dairy cow performance","year":2020,"lang":"en","type":"article","venue":"Microbiome","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":592,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Agriculture Research System of China; Zhejiang University; National Natural Science Foundation of China","keywords":"Metabolome; Rumen; Biology; Microbiome; Metabolomics; Prevotella; Metagenomics; Methanogenesis; Biochemistry; Dairy cattle; Fatty acid; Metabolism; Food science; Bacteria; Fermentation; Animal science; Bioinformatics","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":[0.000682392,0.0006250464,0.0007951561,0.001353331,0.0004059054,0.001104477,0.000173157,0.000470565,0.0009256433],"category_scores_gemma":[0.0004715181,0.00024164,0.0006862937,0.001144734,0.0002143087,0.0005879497,0.0007225902,0.0004175325,0.0002118759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003136873,"about_ca_system_score_gemma":0.0003016982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001029948,"about_ca_topic_score_gemma":0.001422784,"domain_scores_codex":[0.9996376,0.00007653952,0.00002450016,0.0001306363,0.00007895786,0.00005163241],"domain_scores_gemma":[0.9996626,0.00008086061,0.0001293225,0.00003622036,0.00005469549,0.00003626657],"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":[0.000569539,0.00007859941,0.1392862,0.0004089568,0.0009251781,0.0001346995,0.0001565499,0.001206281,0.8261893,0.0002504406,0.0003646075,0.03042966],"study_design_scores_gemma":[0.00001312857,0.0002122621,0.9512489,0.00006070378,0.0005451282,0.0002921787,0.0002822419,0.007430551,0.03491934,0.001113088,0.003840131,0.0000423923],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680885,0.008732048,0.01630541,0.0003783166,0.00003900204,0.00003450272,0.00477585,0.000140805,0.001505516],"genre_scores_gemma":[0.9810686,0.00224885,0.01231358,0.0002924215,0.00004542525,0.00004524504,0.003338197,0.00005083816,0.0005969678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001353331,"threshold_uncertainty_score":0.003608942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03265466331811945,"score_gpt":0.2272062808040971,"score_spread":0.1945516174859777,"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."}}