{"id":"W2966475253","doi":"10.3168/jds.2018-15786","title":"Effect of milk protein composition and amount of β-casein on growth performance, gut hormones, and inflammatory cytokines in an in vivo piglet model","year":2019,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"University of Guelph","keywords":"In vivo; Casein; Composition (language); Hormone; Milk protein; Food science; Chemistry; Growth hormone; Biology; Endocrinology; Biotechnology","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":[0.0009416,0.00008507229,0.000193207,0.000203004,0.00002179447,0.00001162321,0.0001380409,0.00004937313,7.734706e-7],"category_scores_gemma":[0.00002945947,0.0000617281,0.00002573836,0.0001392944,0.0002211075,0.00005325412,0.0000547648,0.00008382648,7.253483e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000015998,"about_ca_system_score_gemma":0.00006390241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001193108,"about_ca_topic_score_gemma":0.000008257593,"domain_scores_codex":[0.9992089,0.00005935055,0.0002709226,0.0001487034,0.0002044653,0.0001076545],"domain_scores_gemma":[0.9995138,0.00001101989,0.0002396118,0.000103103,0.00008769433,0.00004474039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005582403,0.00004401637,0.07849643,0.00008004978,0.000003323539,0.000001718331,0.00003955776,0.0006171296,0.9194501,0.00001311536,0.000001371212,0.0006949439],"study_design_scores_gemma":[0.000762262,0.002678998,0.07081697,0.0001679187,0.000004294317,0.00001508777,0.00001242696,0.006586988,0.9188671,0.00001895362,0.000003162083,0.00006583639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999514,0.0001947941,0.00002042462,0.00001490189,0.00001265204,0.0001866857,0.000004774231,5.374733e-7,0.00005118001],"genre_scores_gemma":[0.99962,0.00008360555,0.000258359,0.00001172356,0.00001546549,0.000002766736,7.803158e-7,0.000003241693,0.000004126141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007679462,"threshold_uncertainty_score":0.2517199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005134535407659058,"score_gpt":0.2314102304512377,"score_spread":0.2262756950435786,"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."}}