{"id":"W2005245862","doi":"10.3168/jds.2006-675","title":"Prediction of Methane Production from Dairy and Beef Cattle","year":2007,"lang":"en","type":"review","venue":"Journal of Dairy Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":417,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Guelph","funders":"","keywords":"Neutral Detergent Fiber; Dry matter; Forage; Methane emissions; Greenhouse gas; Mathematics; Beef cattle; Animal science; Dairy cattle; Methane; Production (economics); Environmental science; Milk production; Statistics; Chemistry; Biology; Agronomy; Ecology","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":[0.001087032,0.0001456472,0.0006767483,0.0001040591,0.00009481964,0.0000229709,0.000348684,0.0001225317,0.00003749459],"category_scores_gemma":[0.0003223761,0.00005213388,0.0001683258,0.0007845614,0.0005446391,0.000357744,0.00007109954,0.0002439514,0.000003451207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004310819,"about_ca_system_score_gemma":0.00009585892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000353733,"about_ca_topic_score_gemma":0.000008183517,"domain_scores_codex":[0.9984271,0.00009886019,0.0006271346,0.0002725204,0.0003958936,0.0001785115],"domain_scores_gemma":[0.9983505,0.0002607681,0.0009258022,0.00005910527,0.0002738271,0.0001299765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001963631,0.00009108576,0.0001424446,0.000227085,0.000014961,0.000003143292,0.00003123004,3.315724e-7,0.0201929,0.00002074607,0.000461623,0.9787948],"study_design_scores_gemma":[0.0001607941,0.001026673,0.04238227,0.004540907,0.0002304304,0.000345765,0.0001869374,0.000001638348,0.002050411,0.0005851375,0.9482691,0.0002199191],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.07622594,0.9223245,0.00000537922,0.0001323471,0.0008982446,0.0001720238,0.0001160799,0.000007482766,0.0001180085],"genre_scores_gemma":[0.008867113,0.9900759,0.0002143054,0.00001694142,0.0007447446,0.000001615746,0.00002477513,8.787017e-7,0.00005376702],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9785749,"threshold_uncertainty_score":0.2125958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08783815488422424,"score_gpt":0.312625049828549,"score_spread":0.2247868949443247,"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."}}