{"id":"W2012379057","doi":"10.2527/jas.2005-328","title":"Comparison of alternative beef production systems based on forage finishing or grain-forage diets with or without growth promotants: 1. Feedlot performance, carcass quality, and production costs","year":2006,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"","keywords":"Feedlot; Forage; Silage; Beef cattle; Animal science; Biology; Soybean meal; Meal; Cattle feeding; Agronomy; Food science; Dairy cattle","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":[0.001148493,0.0001468443,0.0003736049,0.00007364307,0.0003429035,0.00009904844,0.0002322886,0.00004024646,0.000005189885],"category_scores_gemma":[0.0002952699,0.00004969812,0.00003645184,0.0007345293,0.0005088956,0.0007216436,0.00003556184,0.0001672366,5.60931e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008945388,"about_ca_system_score_gemma":0.00006633648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002260355,"about_ca_topic_score_gemma":0.0001364723,"domain_scores_codex":[0.998175,0.0001130107,0.0004883988,0.0003172361,0.0006544887,0.0002518571],"domain_scores_gemma":[0.9982929,0.0001067226,0.0008004035,0.00004780305,0.0006649074,0.00008732338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004909413,0.000640772,0.178984,0.00009443259,0.000007215108,0.00000614244,0.000166912,0.0003064546,0.812692,0.0001875057,0.0001309111,0.001874311],"study_design_scores_gemma":[0.0003943576,0.01175722,0.8751417,0.0004655353,0.00001408811,0.0001226367,0.0008618772,0.001548475,0.1094471,0.00004395263,0.00004553837,0.000157529],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980895,0.00003202648,0.00001517526,0.001084112,0.000227082,0.0003403935,0.000009046233,0.00001220961,0.0001904525],"genre_scores_gemma":[0.9994269,0.00002581391,0.0001613218,0.0000239194,0.0003067622,0.000006078965,0.000002730007,0.000001457736,0.00004498654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7032449,"threshold_uncertainty_score":0.2637371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06378628376220033,"score_gpt":0.3228149930164932,"score_spread":0.2590287092542929,"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."}}