{"id":"W7126002163","doi":"","title":"Predicting body fat levels of laying hens using near-infrared spectroscopy","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":"Laying; Spectroscopy; Body weight; Animal fat; Composition (language)","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":[0.0007466,0.001224738,0.001833094,0.0005203421,0.0006001901,0.0002102322,0.0007471073,0.00117415,0.0009101077],"category_scores_gemma":[0.00004385139,0.001389919,0.0005928643,0.0002850992,0.0003712057,0.0002671881,0.0006259659,0.000997261,0.0004566902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002853159,"about_ca_system_score_gemma":0.0002340044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00379051,"about_ca_topic_score_gemma":0.000001203098,"domain_scores_codex":[0.9936343,0.0004600396,0.001683861,0.001449239,0.001506066,0.001266428],"domain_scores_gemma":[0.9967809,0.00008726693,0.001626578,0.001236114,0.0000210135,0.0002481111],"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":[0.0001111822,0.000521064,0.3717471,0.003689198,0.003280675,0.00007800537,0.003279491,0.3598411,0.244991,0.0001969787,0.01216333,0.0001008902],"study_design_scores_gemma":[0.002361163,0.0001005469,0.00006432879,0.009742868,0.001193124,0.0000408074,0.1123939,0.8681441,0.0001336393,0.0001510347,0.003220357,0.002454089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5020761,0.02038108,0.1256361,0.00001749894,0.005029084,0.007230171,0.01634042,0.002566869,0.3207226],"genre_scores_gemma":[0.9069275,0.0001083496,0.006679941,0.0000203062,0.001179576,0.00007328821,0.0002794596,0.00271048,0.08202114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.508303,"threshold_uncertainty_score":0.9988551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02905371436074913,"score_gpt":0.2678639017290659,"score_spread":0.2388101873683167,"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."}}