{"id":"W3205706179","doi":"10.3390/ani11102914","title":"Modelling Broiler Requirements for Lysine and Arginine","year":2021,"lang":"en","type":"article","venue":"Animals","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Broiler; Lysine; Arginine; Body weight; Animal science; Factorial experiment; Amino acid; Methionine; Linear regression; Chemistry; Biology; Biochemistry; Endocrinology; Mathematics; Statistics","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":[0.0006651055,0.0006359757,0.0003289043,0.0002764042,0.0001229472,0.0004633803,0.000469279,0.000538696,0.001008755],"category_scores_gemma":[0.0009868625,0.0004226676,0.0005021101,0.0001367743,0.0001523815,0.0001935622,0.0002284773,0.000270999,0.0002905168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045417,"about_ca_system_score_gemma":0.0004653539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01892174,"about_ca_topic_score_gemma":0.02213677,"domain_scores_codex":[0.999741,0.00008087936,0.000009839536,0.00008824398,0.00002719393,0.00005281313],"domain_scores_gemma":[0.9994169,0.0003711924,0.00009675979,0.00002354034,0.00005369154,0.00003787906],"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":[0.0022576,0.0005007608,0.08565026,0.0002357342,0.0003248233,0.0003470412,0.0001812608,0.7828229,0.1170345,0.001082246,0.0003037586,0.009259209],"study_design_scores_gemma":[0.0001094918,0.00176653,0.09592061,0.0000190598,0.0001732721,0.0001470699,0.00009660571,0.8828744,0.0173078,0.000526796,0.001008915,0.00004943807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902825,0.00004908213,0.008580071,0.00001078395,0.000002483598,0.00003583953,0.000312805,0.00002498192,0.0007014082],"genre_scores_gemma":[0.989019,0.00005153393,0.008068769,0.00001103135,0.000001083172,0.00009402526,0.0005228026,0.00002050226,0.002211242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01892174,"threshold_uncertainty_score":0.03762317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08323817884468174,"score_gpt":0.2694592198109887,"score_spread":0.186221040966307,"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."}}