{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005204376,0.00005632653,0.0001031702,0.000002669922,0.00009073859,0.00001956516,0.00003696159,0.00003775938,0.0003517369],"category_scores_gemma":[0.00001286342,0.00002338485,0.00003885601,0.00007051219,0.0000197861,0.0000397428,0.00002578082,0.00002512333,0.00001113883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000028493,"about_ca_system_score_gemma":0.00000224708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000196945,"about_ca_topic_score_gemma":0.00001642284,"domain_scores_codex":[0.9995478,0.00001735378,0.00009498639,0.0001703587,0.00004265884,0.0001268866],"domain_scores_gemma":[0.9997749,0.00007367107,0.00002557874,0.00001844038,0.00006537475,0.00004199712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005438662,0.00004351879,0.0004600367,0.000007689911,0.000009550145,0.000002053117,0.0000128533,0.00001118058,0.9889859,0.004140032,0.001871376,0.004401409],"study_design_scores_gemma":[0.001668919,0.002081691,0.09141878,0.00009640375,0.00006897213,0.00004262821,0.0006263378,0.01472547,0.03852343,0.05011024,0.7998303,0.0008068109],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966804,0.0005881238,0.0001048876,0.001701474,0.00002627561,0.00007248046,0.00003643558,0.00002095065,0.0007689536],"genre_scores_gemma":[0.9974777,0.0001800832,0.0009034862,0.0006790732,0.0001812142,0.00001015404,0.00006554223,5.173468e-7,0.0005022714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9504625,"threshold_uncertainty_score":0.3851272,"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."}}