{"id":"W2156478656","doi":"10.1071/an14620","title":"The evolution and evaluation of dairy cattle models for predicting milk production: an agricultural model intercomparison and improvement project (AgMIP) for livestock","year":2014,"lang":"en","type":"article","venue":"Animal Production Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Korea Research Institute of Standards and Science; Institut National de la Recherche Agronomique; University of California, Davis; Commonwealth Scientific and Industrial Research Organisation; University of Guelph; University of Pittsburgh","keywords":"Livestock; Production (economics); Greenhouse gas; Agriculture; Environmental science; Dairy cattle; Milk production; Environmental resource management; Natural resource economics; Geography; Economics; Ecology; Biology","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":[0.01312032,0.001095778,0.001040152,0.001034937,0.0005814545,0.001029244,0.001962012,0.001100258,0.0007227048],"category_scores_gemma":[0.01522195,0.0006038484,0.001143139,0.001004254,0.0004231913,0.00103993,0.0008828318,0.001068404,0.000128931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002074749,"about_ca_system_score_gemma":0.002072916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03815111,"about_ca_topic_score_gemma":0.01335882,"domain_scores_codex":[0.9978341,0.001404225,0.0001261219,0.0002528504,0.0002711897,0.0001114555],"domain_scores_gemma":[0.9886237,0.008051273,0.0005100591,0.0007608829,0.001816032,0.0002380299],"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":[0.0003587761,0.0004864988,0.02080105,0.00009063195,0.0002283133,0.00006871716,0.0001033742,0.947591,0.001144032,0.0009889766,0.0009824247,0.02715614],"study_design_scores_gemma":[0.00006147787,0.0001484272,0.002352215,0.00001023622,0.00004212405,0.000006018104,0.00003846471,0.9958739,0.0009102393,0.0002607742,0.0002849744,0.00001113712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9557333,0.0006577342,0.03759626,0.0007696703,0.00005174413,0.0002063075,0.001735306,0.0006520596,0.002597547],"genre_scores_gemma":[0.9359522,0.0003252677,0.05961587,0.00008852454,0.0000206052,0.0002540195,0.003043609,0.0001247829,0.0005750201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03815111,"threshold_uncertainty_score":0.07585812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08379937032800677,"score_gpt":0.3149313715473173,"score_spread":0.2311320012193105,"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."}}