{"id":"W2598662244","doi":"10.2527/asasmw.2017.368","title":"368 Effects of balancing feedlot diets for amino acid requirements and effective energy using rumen-protected lysine on growing steer performance","year":2017,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lysine; Rumen; Feedlot; Limiting; Animal science; Feed conversion ratio; Animal feed; Meal; Biology; Energy requirement; Biotechnology; Food science; Biochemistry; Amino acid; Body weight; Mathematics; Fermentation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000417458,0.0004109618,0.0005107083,0.0002163453,0.0002200341,0.0005661743,0.0001695116,0.0002857565,0.0006666626],"category_scores_gemma":[0.0003805841,0.0002128618,0.0002178803,0.0001381251,0.0002230511,0.0002490793,0.0001841983,0.0003947335,0.0001907242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004418694,"about_ca_system_score_gemma":0.0003097653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003020549,"about_ca_topic_score_gemma":0.008426011,"domain_scores_codex":[0.9996928,0.00008337083,0.0000328041,0.00005823197,0.00008174674,0.00005107187],"domain_scores_gemma":[0.9995373,0.00007003428,0.0001404729,0.00002399058,0.00004478395,0.0001833489],"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":[0.01681579,0.001473302,0.01412268,0.00009394521,0.0001558612,0.0000887014,0.0001602802,0.0004094098,0.9595814,0.00003131377,0.00006429433,0.007002953],"study_design_scores_gemma":[0.0009734249,0.08409371,0.4477471,0.00005053911,0.000618542,0.0004785584,0.0008678316,0.005524094,0.4566874,0.0001311778,0.002744273,0.00008339979],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997439,0.00004400519,0.00008631704,0.000005675012,0.000002356901,0.000004577101,0.00002316188,0.000003677092,0.00008634207],"genre_scores_gemma":[0.9979684,0.0001047291,0.0008968734,0.00005232723,0.00000511585,0.00002074713,0.0002003228,0.00001346999,0.0007378957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003020549,"threshold_uncertainty_score":0.006005943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02784183395102696,"score_gpt":0.2746187044509799,"score_spread":0.2467768704999529,"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."}}