{"id":"W4391470280","doi":"10.1016/j.psj.2024.103522","title":"Comparative efficacy of hydroxychloride and organic sources of zinc, copper, and manganese on egg production and concentration of trace minerals in eggs, plasma, and excreta in female broiler breeders from 42 to 63 weeks of age","year":2024,"lang":"en","type":"article","venue":"Poultry Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nutrition Society; University of Guelph","funders":"Ontario Agri-Food Innovation Alliance; Nutreco; Ontario Ministry of Agriculture, Food and Rural Affairs; Canadian Poultry Research Council","keywords":"Trace Minerals; Manganese; Zinc; Broiler; Copper; Trace mineral; Chemistry; Environmental chemistry; TRACE (psycholinguistics); Food science","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":[0.0001860936,0.000072278,0.0002150853,0.00003506092,0.0000292237,0.00001365941,0.0000633739,0.00003719693,0.0000101564],"category_scores_gemma":[0.00007107662,0.00003649972,0.00001032939,0.0003913627,0.0005414381,0.0001529132,0.00002974456,0.00005445734,2.639646e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005734017,"about_ca_system_score_gemma":0.000009732431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006724698,"about_ca_topic_score_gemma":0.0004585622,"domain_scores_codex":[0.9992752,0.00004492288,0.0002040057,0.0002698874,0.0001124788,0.00009348311],"domain_scores_gemma":[0.9995952,0.0002290504,0.00006969582,0.00002855531,0.0000323085,0.00004517805],"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":[0.0001391964,0.00005817488,0.06081801,0.0000346579,0.000002394388,7.242166e-7,0.002451321,0.00001310426,0.9357085,0.0001269712,0.00001270307,0.0006342725],"study_design_scores_gemma":[0.0002041503,0.0004680169,0.8679684,0.0001781067,0.00000419798,0.000002957782,0.003047826,0.000216303,0.1277259,0.00009593983,0.00002609047,0.00006211096],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998636,0.0006245123,2.460866e-7,0.0004373279,0.00002716632,0.0001802559,0.00002560734,0.000003566166,0.00006533674],"genre_scores_gemma":[0.9997126,0.0001845835,0.00004405512,0.00001773692,0.00001567932,0.000001560405,0.000004525611,4.61082e-7,0.00001879046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8079826,"threshold_uncertainty_score":0.1994951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972651712378251,"score_gpt":0.2725079179213741,"score_spread":0.2427814007975916,"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."}}