{"id":"W7126302465","doi":"","title":"Long-term influence of dietary lysine and energy on laying hen performance, body composition and metabolism from 0 until 110 weeks of age","year":2025,"lang":"en","type":"other","venue":"Socio-Environmental Systems Modeling","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cargill (Canada)","funders":"Landbrugsstyrelsen; Natural Sciences and Engineering Research Council of Canada; Elanco Animal Health; Grønt Udviklings- og Demonstrations Program; European Agricultural Fund for Rural Development; Ministerie van Landbouw, Natuur en Voedselkwaliteit; CHIST-ERA; H. Wilhelm Schaumann Stiftung; Royal De Heus; Junta de Andalucía; Canada First Research Excellence Fund; Bundesamt für Landwirtschaft; Evonik Operations; Université François-Rabelais; Bundesministerium für Ernährung und Landwirtschaft; Vereniging Diervoederonderzoek Nederland; U.S. Department of Agriculture; Mitacs; University of Alberta; European Commission; Ministerio de Ciencia e Innovación; Narodowym Centrum Nauki; National Institute of Food and Agriculture; Novo Nordisk; Università degli Studi di Milano; Generalitat de Catalunya; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; Agentschap Innoveren en Ondernemen; Aarhus Universitet; Deutsche Forschungsgemeinschaft; Japan Society for the Promotion of Science; Novalait; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Vlaamse regering; Beef Farmers of Ontario; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Beef Cattle Research Council; Texas Tech University; Agriculture and Agri-Food Canada; National Science Foundation","keywords":"Lysine; Composition (language); Metabolism; Energy metabolism; Laying","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002514287,0.0006559948,0.001330083,0.0004225386,0.0001606706,0.00004387286,0.000257699,0.0005154345,0.00004934347],"category_scores_gemma":[0.000003284569,0.0006718896,0.0001515597,0.0001020991,0.0003805035,0.0002220169,0.0003290185,0.0003357756,0.00001806551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000224979,"about_ca_system_score_gemma":0.00002652571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004699761,"about_ca_topic_score_gemma":0.000003931059,"domain_scores_codex":[0.9970246,0.0002265419,0.0008991463,0.000792679,0.000690665,0.0003663854],"domain_scores_gemma":[0.9984115,0.00006041941,0.0008549556,0.000541102,0.00001259778,0.0001194281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004608812,0.0007975504,0.4617403,0.004076981,0.00318636,0.00005372079,0.001696906,0.1650076,0.3603052,0.000261426,0.0004617246,0.001951438],"study_design_scores_gemma":[0.02252117,0.001248752,0.4056033,0.07682176,0.01241047,0.0001028324,0.03066677,0.4351152,0.001701642,0.0003411395,0.00244357,0.01102337],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800456,0.01314048,0.0004884559,0.000004456844,0.0001807784,0.0004301005,0.001764213,0.00008733788,0.003858552],"genre_scores_gemma":[0.9899979,0.003086239,0.0001501321,0.00002281465,0.000185515,0.00004533213,0.00110274,0.0004482665,0.004961016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3586035,"threshold_uncertainty_score":0.9995732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009179481398938158,"score_gpt":0.2118784122512815,"score_spread":0.2026989308523434,"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."}}