{"id":"W2965752152","doi":"10.1093/jas/skz122.338","title":"PSIV-22 Effect of dietary glycine on growth performance and skin collagen abundance of nursery pigs fed low crude protein diets","year":2019,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glycine; Animal science; Meal; Composition (language); Chemistry; Soybean meal; Feed conversion ratio; Body weight; Biology; Food science; Amino acid; Biochemistry; Endocrinology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003236722,0.0004258878,0.0004583612,0.0002642054,0.0002037183,0.0004494596,0.0002242897,0.0003468303,0.00123449],"category_scores_gemma":[0.0002459665,0.0002429948,0.0001857184,0.0001283902,0.0003395977,0.0002474468,0.0002196407,0.0005125688,0.0002748168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003208389,"about_ca_system_score_gemma":0.0002346995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001476105,"about_ca_topic_score_gemma":0.003102458,"domain_scores_codex":[0.9997763,0.00006211162,0.00001895593,0.00005347334,0.00003949335,0.00004973722],"domain_scores_gemma":[0.9994155,0.00009224236,0.0001392282,0.00002482177,0.00005205916,0.0002760538],"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":[0.01464831,0.0005590636,0.005459846,0.00005062663,0.0000321726,0.0000536126,0.00004655834,0.00004595671,0.9769371,0.00001548455,0.00003790328,0.002113376],"study_design_scores_gemma":[0.0005548979,0.04815565,0.2953592,0.00003576765,0.0001779736,0.0003468312,0.000387697,0.001406896,0.6514462,0.00004730885,0.002045267,0.00003632575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996157,0.0001128671,0.00006861731,0.00001101905,0.000004164083,0.000005161481,0.00008162981,0.00000391825,0.00009687035],"genre_scores_gemma":[0.9972191,0.0001479445,0.0005993508,0.00006307509,0.000006308408,0.00003342569,0.0005050761,0.00001298964,0.00141278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001476105,"threshold_uncertainty_score":0.004129827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007780344592561937,"score_gpt":0.2238600763247923,"score_spread":0.2160797317322304,"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."}}