{"id":"W2969740895","doi":"10.1111/gcb.14094","title":"Prediction of enteric methane production, yield, and intensity in dairy cattle using an intercontinental database","year":2018,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":324,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"DSM Nutritional Products; University of California, Davis; National Institute of Food and Agriculture; Limpopo Department of Agriculture and Rural Development; Fondo Nacional de Desarrollo Científico y Tecnológico; College of Agricultural Sciences, Pennsylvania State University; Bundesamt für Landwirtschaft; Ministerie van Economische Zaken; European Commission; Bundesministerium für Ernährung und Landwirtschaft; Diagnostic Services Manitoba; Agence Nationale de la Recherche; Department for Environment, Food and Rural Affairs, UK Government; Scottish Government; New Hampshire Agricultural Experiment Station; U.S. Department of Agriculture; FP7 Research for the Benefit of SMEs; Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria; Northeast SARE; Product Board Animal Feed; Department of Agriculture and Rural Development, Northern Ireland; Academy of Finland; University of California","keywords":"Environmental science; Production (economics); Yield (engineering); Database; Methane; Dairy cattle; Animal science; Ecology; Biology; Computer science; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001927262,0.0005844385,0.0004265627,0.001192997,0.0002434096,0.0006994269,0.0008328105,0.0005737473,0.0005340193],"category_scores_gemma":[0.001803755,0.0002760544,0.0009179023,0.001363751,0.0001759902,0.0005318712,0.0006239613,0.0003193917,0.0001356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009760477,"about_ca_system_score_gemma":0.0005697455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03458232,"about_ca_topic_score_gemma":0.02816069,"domain_scores_codex":[0.9995432,0.000170968,0.00003078811,0.0001608522,0.00006472396,0.00002962289],"domain_scores_gemma":[0.998854,0.000516273,0.0001723391,0.0001277936,0.0002747462,0.0000548695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004001395,0.0003378882,0.4969955,0.00007709621,0.0005276932,0.0001813279,0.0001044755,0.4682749,0.005328671,0.000190764,0.0004164178,0.02716513],"study_design_scores_gemma":[0.00002699831,0.0001993682,0.2363359,0.00001926503,0.0001026049,0.00004536474,0.0001202723,0.7599977,0.002342022,0.0001531445,0.0006350435,0.00002227191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941392,0.0001086282,0.004209026,0.00002565921,0.000003489774,0.00001295256,0.00118191,0.00006424272,0.0002548802],"genre_scores_gemma":[0.990014,0.00007010781,0.006684082,0.00001172925,0.000003148884,0.00002694052,0.003014633,0.000008727242,0.0001666086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03458232,"threshold_uncertainty_score":0.06876206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1399012332625744,"score_gpt":0.2974295662455725,"score_spread":0.1575283329829981,"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."}}