{"id":"W3083213233","doi":"10.1016/j.psj.2020.08.054","title":"Multiphasic nonlinear mixed growth models for laying hens","year":2020,"lang":"en","type":"article","venue":"Poultry Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Wageningen University and Research; University of Alberta; Egg Farmers of Canada; Alberta Agriculture and Forestry","keywords":"Gompertz function; Weight gain; Logistic regression; Mathematics; Animal science; Inflection point; Body weight; Statistics; Biology; Medicine; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0001371685,0.00008855335,0.000114501,0.000007128786,0.0003576284,0.00004828523,0.0003863194,0.00004127012,0.00005033104],"category_scores_gemma":[0.0001553593,0.00003540006,0.00006674339,0.0004775857,0.0001823827,0.0002677397,0.00006528024,0.00007046296,0.00004205719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009329835,"about_ca_system_score_gemma":0.00001405669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003175837,"about_ca_topic_score_gemma":0.000002930095,"domain_scores_codex":[0.9990485,0.00001796728,0.0001237511,0.0003541223,0.0001575684,0.0002980631],"domain_scores_gemma":[0.999463,0.000136216,0.00004367381,0.00002791012,0.0001361166,0.0001930503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004934312,0.00004687407,0.00388024,0.000008088925,0.000001643949,7.390574e-7,0.00009842577,0.00003745316,0.9865411,0.003211289,0.0006862527,0.005438565],"study_design_scores_gemma":[0.003580149,0.005509887,0.3794787,0.0001043906,0.00005739668,0.00003750409,0.01840506,0.3933099,0.04803116,0.05590224,0.09272945,0.002854208],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884071,0.0000358454,0.0004894579,0.009795529,0.00009966901,0.0001984228,0.00007047159,0.00008658227,0.0008168842],"genre_scores_gemma":[0.9924136,0.00001225128,0.00297536,0.004235393,0.000301858,0.00001250247,0.0000215275,6.076457e-7,0.00002692607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9385099,"threshold_uncertainty_score":0.2750624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07358863163990041,"score_gpt":0.2497526472227108,"score_spread":0.1761640155828104,"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."}}