{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003921551,0.0003137817,0.0004576293,0.00002409254,0.0005113555,0.0001421272,0.0006059472,0.0001167983,0.0001319931],"category_scores_gemma":[0.00003631931,0.00009233136,0.00009382077,0.0006841167,0.0002587623,0.0001648689,0.0002935264,0.0002103196,0.0001710508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001701455,"about_ca_system_score_gemma":0.00001099595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002778577,"about_ca_topic_score_gemma":0.00003207284,"domain_scores_codex":[0.9983485,0.0002469021,0.0002467133,0.0005075427,0.0001331382,0.0005171564],"domain_scores_gemma":[0.9991953,0.0002248091,0.0001637266,0.000116083,0.0001135616,0.0001864986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001996767,0.00005691002,0.001531664,0.00001328328,0.00006839116,0.000002510251,0.0005156019,0.000001035181,0.9949815,0.00004972388,0.002074059,0.000505641],"study_design_scores_gemma":[0.001725,0.0006801797,0.3670881,0.00004022013,0.0001147669,0.00006399134,0.0008683935,0.00002272378,0.2119932,0.00001005664,0.4168183,0.0005750147],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496294,0.00182283,0.000008199286,0.04646462,0.00007069585,0.0008930571,0.0010182,0.00006485376,0.00002818623],"genre_scores_gemma":[0.9863454,0.000328913,0.0002256501,0.01220868,0.0001314981,0.00007077093,0.0001545118,0.000005013132,0.0005296263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7829883,"threshold_uncertainty_score":0.3932985,"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."}}