{"id":"W4387740430","doi":"10.1016/j.animal.2023.101015","title":"Update and evaluation of the egg production model in laying hens","year":2023,"lang":"en","type":"article","venue":"animal","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nutrition Society","funders":"Università degli Studi di Sassari; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Yolk; Production (economics); Animal science; Overconsumption; Nutrient; Mathematics; Environmental science; Statistics; Biology; Food science; Ecology; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002300726,0.0000254726,0.00003900801,0.000004909633,0.00004491264,0.000003180612,0.00003518464,0.00002136308,0.00002144186],"category_scores_gemma":[0.00002557205,0.00000857145,0.00001407466,0.0001847097,0.00002553251,0.00003607712,0.0000267573,0.00003093937,0.000005595633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004260402,"about_ca_system_score_gemma":0.000002887035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002924708,"about_ca_topic_score_gemma":0.00006453148,"domain_scores_codex":[0.9996649,0.00005192027,0.00005934828,0.00008372699,0.00008089904,0.00005917563],"domain_scores_gemma":[0.9999113,0.00001334374,0.0000216208,0.00001427528,0.00003157302,0.000007884836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002671453,0.00001722127,0.02665441,0.000002790453,0.000001183252,6.331729e-8,0.0000556729,0.0002041713,0.9644374,0.001092486,0.0003145744,0.00719334],"study_design_scores_gemma":[0.00005660142,0.00004245007,0.9808694,0.000005910935,0.000003308214,6.092277e-7,0.0002398719,0.01274783,0.0007334896,0.005146447,0.0001275371,0.00002652351],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972566,0.00003179196,7.547205e-8,0.002488851,0.00002085836,0.00008291547,0.000003321631,0.00001047033,0.0001051157],"genre_scores_gemma":[0.9998174,0.00003552927,0.000006931432,0.00007213065,0.00003859878,0.000005527284,0.000007256574,1.8198e-7,0.0000163914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9637039,"threshold_uncertainty_score":0.03495336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0822727156763051,"score_gpt":0.2870885461404941,"score_spread":0.2048158304641889,"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."}}