{"id":"W3107182026","doi":"10.1093/jas/skaa278.574","title":"PSXI-31 Program Chair Poster Pick: Determination of the threonine requirement in adult and senior Labrador Retrievers using the indicator amino acid oxidation technique","year":2020,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nutrient; Amino acid; Animal science; Threonine; Phenylalanine; Chemistry; Nitrogen balance; Biochemistry; Nitrogen; Biology; Serine; Organic chemistry","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":[0.0004330196,0.000242171,0.0002230486,0.0003035086,0.0003259674,0.0002604684,0.0001964526,0.0003560314,0.01178171],"category_scores_gemma":[0.0001658081,0.0001423579,0.000259079,0.0001439062,0.0001376155,0.000165312,0.0002154486,0.0003399458,0.003055444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002047209,"about_ca_system_score_gemma":0.000235026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001080909,"about_ca_topic_score_gemma":0.002911164,"domain_scores_codex":[0.9999034,0.00001374528,0.000007452561,0.00003208923,0.00002744622,0.00001580991],"domain_scores_gemma":[0.9997832,0.00001429188,0.0000329415,0.0000137299,0.00006546315,0.00009044483],"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":[0.006906694,0.001738649,0.06325969,0.0002339873,0.0000509064,0.0003304123,0.0003497876,0.000226528,0.8629513,0.0002159981,0.009303981,0.05443203],"study_design_scores_gemma":[0.0001735317,0.02891579,0.6828838,0.00005195511,0.00008649402,0.0007827251,0.0005830275,0.001310069,0.2529862,0.0001505988,0.03202569,0.00005011244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875213,0.000310533,0.002120629,0.0002155928,0.0001377049,0.0003088054,0.002080682,0.00008475005,0.007220117],"genre_scores_gemma":[0.8857214,0.0009386443,0.01121677,0.0004272194,0.0001457046,0.0005884489,0.006869201,0.00009577185,0.09399688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01178171,"threshold_uncertainty_score":0.03941369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397158331545175,"score_gpt":0.2807941346025614,"score_spread":0.2668225512871097,"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."}}