{"id":"W4390397640","doi":"10.5713/ab.23.0387","title":"— Invited Review — Translational gut microbiome research for strategies to improve beef cattle production sustainability and meat quality","year":2023,"lang":"en","type":"article","venue":"Animal Bioscience","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Beef Cattle Research Council; Meiji University","keywords":"Sustainability; Microbiome; Beef cattle; Biotechnology; Production (economics); Livestock; Quality (philosophy); Business; Gut microbiome; Metabolome; Metagenomics; Biology; Red meat; Food science; Metabolomics; Animal science; Ecology","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":[0.001415071,0.00008463667,0.0001452482,0.00003546136,0.0004121445,0.00006007252,0.0001680158,0.00004556658,0.00001179215],"category_scores_gemma":[0.0007796974,0.00003824521,0.00004175613,0.001378092,0.0003663302,0.0002289812,0.00006770848,0.00006925344,0.00001203619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002316822,"about_ca_system_score_gemma":0.00002691707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002212531,"about_ca_topic_score_gemma":0.0001904789,"domain_scores_codex":[0.998607,0.0001559308,0.0001870681,0.0005200317,0.0001876187,0.0003423223],"domain_scores_gemma":[0.9990305,0.0003146526,0.00003514345,0.00005677551,0.0004706209,0.0000923531],"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":[0.00005671208,0.00004113088,0.0007250296,0.0001531172,9.704867e-7,1.985421e-7,0.00005540736,4.116627e-7,0.9896179,0.001188094,0.003795733,0.004365236],"study_design_scores_gemma":[0.00008851379,0.000857055,0.9331912,0.00007846371,0.000003704832,0.000002500965,0.001042671,0.00001439858,0.037168,0.007106709,0.02027256,0.0001742721],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8931952,0.0003174318,0.000004474981,0.1054223,0.00005410995,0.0008222664,0.0001172186,0.00004656813,0.00002037604],"genre_scores_gemma":[0.9985009,0.0003443527,0.00007459374,0.0007390464,0.00008058187,0.000099332,0.00006650812,6.021101e-7,0.00009404727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.95245,"threshold_uncertainty_score":0.3169924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1189194283644622,"score_gpt":0.4009515964592414,"score_spread":0.2820321680947792,"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."}}