{"id":"W3155773790","doi":"","title":"Use of cloned dairy cows to define physiological contributions to ruminal methane production","year":2008,"lang":"en","type":"article","venue":"Australian Journal of Experimental Agriculture","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Environmental management system; Production (economics); Methane; Irrigation; Dairy cattle; Milk production; Environmental science; Animal science; Drought tolerance; Methane emissions; Agronomy; Animal production; Biology; Biotechnology; Ecology; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007608475,0.0004784532,0.0006245703,0.0009067419,0.0004781865,0.0008134306,0.0007068191,0.0009015769,0.001577795],"category_scores_gemma":[0.001016881,0.0005932686,0.0006136912,0.00040657,0.0009016173,0.000546658,0.0007392731,0.001975492,0.000473473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008016148,"about_ca_system_score_gemma":0.0005480494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002456552,"about_ca_topic_score_gemma":0.002581086,"domain_scores_codex":[0.9994024,0.0001285271,0.00006922789,0.0001577403,0.00008130958,0.0001608496],"domain_scores_gemma":[0.9981773,0.001147227,0.0002739389,0.0001358235,0.00007812324,0.0001876214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008583749,0.00008020996,0.001845455,0.00003043936,0.00001895114,0.0000740444,0.0001809284,0.00009529084,0.9946278,0.0003474533,0.0000157714,0.001825368],"study_design_scores_gemma":[0.0002531248,0.001702926,0.03989594,0.00005070526,0.0003284707,0.0009961782,0.0006149093,0.002680991,0.9483621,0.0003102876,0.004761554,0.00004289753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902028,0.001106617,0.006597077,0.0001310001,0.00005542992,0.00009658818,0.0007157438,0.00005289261,0.001041827],"genre_scores_gemma":[0.9812748,0.001320371,0.009440769,0.0001628286,0.00004053915,0.000269043,0.002126408,0.0001378584,0.00522731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002456552,"threshold_uncertainty_score":0.005816102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07515800349702738,"score_gpt":0.3008349529848457,"score_spread":0.2256769494878183,"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."}}