{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001058357,0.0001946647,0.0004184483,0.00003349692,0.0001529002,0.00001500553,0.0002131979,0.0001188935,0.0001944899],"category_scores_gemma":[0.0001826716,0.0000709577,0.0002219165,0.0005126787,0.0001138967,0.0002354171,0.00005783523,0.0001866696,0.00003081677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000620862,"about_ca_system_score_gemma":0.0000123123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006021626,"about_ca_topic_score_gemma":0.00001111517,"domain_scores_codex":[0.9985868,0.0001374984,0.0004872441,0.0002420116,0.0002618968,0.0002845669],"domain_scores_gemma":[0.998821,0.00006130848,0.0002703499,0.00005288399,0.0004583856,0.0003360695],"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":[0.0003763733,0.0006143425,0.0007901692,0.000001958085,0.00002484711,0.00002733681,0.0001529986,0.00004150232,0.9359554,0.0001245953,0.06176344,0.0001270074],"study_design_scores_gemma":[0.0002120081,0.002465446,0.2387695,0.00004696463,0.00001364322,0.0004149777,0.0006623621,1.013712e-7,0.746317,0.00002896308,0.01091876,0.0001503266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928333,0.0001157039,0.000003410235,0.006339308,0.0002465619,0.0002913442,0.0001361434,0.00001494892,0.00001931436],"genre_scores_gemma":[0.9978471,0.00003399172,0.0007058321,0.0003003131,0.0005468465,0.0000132682,0.00006753289,0.000001072206,0.000483999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2379793,"threshold_uncertainty_score":0.2893571,"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."}}