{"id":"W2375252078","doi":"10.1111/gcb.13339","title":"Models for predicting enteric methane emissions from dairy cows in North America, Europe, and Australia and New Zealand","year":2016,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Canada Research Chairs; University of California, Davis; California Air Resources Board","keywords":"Methane emissions; Methane; Dairy cattle; Greenhouse gas; Environmental science; Geography; Environmental protection; Animal science; Agricultural economics; Ecology; Biology; Forestry; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001729228,0.000868647,0.0004973896,0.0005450922,0.0004013756,0.0008797315,0.001223379,0.0003956138,0.0009151672],"category_scores_gemma":[0.002330694,0.000380009,0.0008866007,0.0006684408,0.0003131704,0.0006018202,0.0007516859,0.0005265963,0.000155107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001833352,"about_ca_system_score_gemma":0.001309791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.258038,"about_ca_topic_score_gemma":0.1554821,"domain_scores_codex":[0.9996325,0.0001037023,0.00003194319,0.0001160678,0.00006889459,0.00004689268],"domain_scores_gemma":[0.9993531,0.0002963895,0.0001114838,0.0000228247,0.0001925089,0.00002365112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002471062,0.0001034364,0.0762945,0.0001382738,0.0004027565,0.0001393555,0.0001800404,0.8963227,0.001408472,0.0008974341,0.0009452889,0.02292071],"study_design_scores_gemma":[0.00004350903,0.00008428689,0.02655857,0.00002592014,0.0001132827,0.00003178881,0.0001072334,0.9712954,0.0003366396,0.0006469505,0.0007333626,0.00002306206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760203,0.0009744804,0.01818393,0.0003251273,0.00002570606,0.00006340995,0.001045616,0.0001225252,0.003238841],"genre_scores_gemma":[0.9884595,0.0005558374,0.008203685,0.00004206103,0.00000990926,0.00007914533,0.001247758,0.00001852381,0.001383594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.258038,"threshold_uncertainty_score":0.5130722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1047832570686784,"score_gpt":0.294542658933659,"score_spread":0.1897594018649806,"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."}}