{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002361424,0.000401926,0.0001402689,0.0003048728,0.0001541797,0.0002600416,0.0004752247,0.0002552579,0.006175863],"category_scores_gemma":[0.0004976319,0.0001403793,0.0003009467,0.0002406938,0.00006990256,0.0002810698,0.0002180389,0.0002060699,0.001364598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001827212,"about_ca_system_score_gemma":0.000240491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02606386,"about_ca_topic_score_gemma":0.0428433,"domain_scores_codex":[0.9999577,0.000009382123,0.000001017384,0.00001315594,0.00001431534,0.00000439235],"domain_scores_gemma":[0.9998922,0.00005399685,0.000008916701,0.00001089125,0.00002558646,0.000008292285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002192884,0.0002640269,0.02359391,0.0001136578,0.0001169295,0.000081174,0.00004295581,0.7889438,0.00723385,0.001882105,0.01493508,0.1625732],"study_design_scores_gemma":[0.000008274349,0.00001673062,0.003241212,0.000004088903,0.00001021044,0.000005932695,0.000009500032,0.9932636,0.001289075,0.0006480486,0.001498014,0.000005335306],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4466014,0.0005541618,0.4639295,0.0004967797,0.0001522571,0.0001512651,0.01176001,0.007999036,0.06835569],"genre_scores_gemma":[0.775112,0.0002958043,0.175072,0.00008094736,0.00005089808,0.0001256335,0.006667432,0.0005476099,0.04204766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02606386,"threshold_uncertainty_score":0.05182433,"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."}}