{"id":"W3175323757","doi":"10.1016/j.psj.2021.101362","title":"Growth performance, organ attributes, nutrient and caloric utilization in broiler chickens differing in growth rates when fed a corn-soybean meal diet with multienzyme supplement containing phytase, protease and fiber degrading enzymes","year":2021,"lang":"en","type":"article","venue":"Poultry Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Agri-Food Innovation Alliance; Canada First Research Excellence Fund; Diagnostic Services Manitoba","keywords":"Phytase; Starter; Broiler; Amen; Gizzard; Animal science; Meal; Soybean meal; Feed conversion ratio; Food science; Biology; Nutrient; Chemistry; Protease; Body weight; Biochemistry; Enzyme; Endocrinology","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":[0.0002726215,0.0001689561,0.0002185076,0.00005370308,0.0003029044,0.00009545037,0.0001282786,0.00004985826,0.00006524456],"category_scores_gemma":[0.0001136889,0.00008133021,0.0000155516,0.0008821354,0.0002475522,0.0003770216,0.0001177748,0.000154441,0.00000159568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005647095,"about_ca_system_score_gemma":0.00003361713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003338901,"about_ca_topic_score_gemma":0.0004689794,"domain_scores_codex":[0.9985516,0.00007870444,0.0002266285,0.0005063905,0.0002167188,0.0004199276],"domain_scores_gemma":[0.9994726,0.0001263026,0.00007497163,0.00004317471,0.0001339742,0.0001490088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003044165,0.0001453737,0.9108182,0.0000446747,0.000003049358,0.0000156907,0.0006384677,0.000001389385,0.08628904,0.0009365767,0.00003646484,0.000766645],"study_design_scores_gemma":[0.0008685049,0.0006196524,0.9812424,0.0001366927,0.000004355987,0.00001929135,0.001372662,0.001134413,0.01394832,0.0003046198,0.000126984,0.0002221325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99864,0.0002378534,0.000006647209,0.0006766246,0.0000270872,0.0003113172,0.00003458796,0.00002240855,0.00004347976],"genre_scores_gemma":[0.9992009,0.0001472465,0.0002870201,0.0001641264,0.00004120919,0.00004034498,0.00009215484,0.000001684554,0.00002525869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07234072,"threshold_uncertainty_score":0.331655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976232356179858,"score_gpt":0.23030098469782,"score_spread":0.2005386611360215,"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."}}