{"id":"W2767159829","doi":"10.1016/j.syapm.2017.07.008","title":"Assessing the impact of rumen microbial communities on methane emissions and production traits in Holstein cows in a tropical climate","year":2017,"lang":"en","type":"article","venue":"Systematic and Applied Microbiology","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Food and Agriculture; Instituto Nacional de Ciência e Tecnologia de Ciência Animal; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Empresa Brasileira de Pesquisa Agropecuária; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Biology; Rumen; Dry matter; Methane; Methane emissions; Animal science; Organic matter; Microbial population biology; Bacteria; Atmospheric methane; Archaea; Methanogen; Agronomy; Food science; Ecology; Fermentation","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":[0.000355821,0.0001177165,0.0004287656,0.00002377393,0.0002152526,0.00004320399,0.0001464394,0.00009887717,0.00001095167],"category_scores_gemma":[0.00005551024,0.00003889919,0.00003868409,0.00004782742,0.0003216472,0.00004843813,0.00007981873,0.0001319732,0.000001524728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001519073,"about_ca_system_score_gemma":0.000006518954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002252233,"about_ca_topic_score_gemma":0.0003207949,"domain_scores_codex":[0.9990258,0.0003057414,0.0003032365,0.0001558503,0.00002064403,0.0001887484],"domain_scores_gemma":[0.9993553,0.000305358,0.0002195103,0.00007845036,0.00001570256,0.00002573761],"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":[0.0000594048,0.00009026907,0.005254863,0.0003950818,0.000008198262,5.785917e-7,0.0003116564,0.000001891999,0.9927925,0.0005739511,0.00001250896,0.0004990661],"study_design_scores_gemma":[0.0005765327,0.0002779614,0.9811786,0.001351506,0.00001218428,0.00006207945,0.004659898,0.00001340113,0.01117876,0.0005493547,0.000007528788,0.0001321863],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985211,0.00009117746,3.541494e-7,0.0005336785,0.00002529562,0.0005574669,0.00003044606,0.000005494198,0.0002349829],"genre_scores_gemma":[0.9997993,0.00006072395,0.0000168674,0.00002631154,0.00002533947,0.00004142569,0.00002019095,8.412097e-7,0.000009032909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9816138,"threshold_uncertainty_score":0.1655571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04004102375902667,"score_gpt":0.2987041445233157,"score_spread":0.258663120764289,"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."}}