{"id":"W3092324656","doi":"10.1093/jas/skaa335","title":"Impact of arginine supplementation on serum prolactin and mRNA abundance of amino acid transporter genes in mammary tissue of lactating sows","year":2020,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"","keywords":"Lactation; Lactose; Prolactin; Biology; Endocrinology; Internal medicine; Mammary gland; Gestation; Animal science; Pregnancy; Medicine; Biochemistry; Hormone","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002659299,0.0002181376,0.0004200846,0.0001777053,0.0001332912,0.0003072924,0.0001161454,0.0002479063,0.000648363],"category_scores_gemma":[0.0003750125,0.0001892937,0.0001837947,0.00007346219,0.0002995658,0.000159082,0.0001536548,0.0005726926,0.000181039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002406734,"about_ca_system_score_gemma":0.0002175836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006645363,"about_ca_topic_score_gemma":0.001411722,"domain_scores_codex":[0.9997917,0.00006529412,0.00001476161,0.00006709275,0.00003253614,0.00002858829],"domain_scores_gemma":[0.9995679,0.0001221025,0.0001146756,0.00003378362,0.00002819572,0.0001333186],"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":[0.006567037,0.0002174769,0.00658697,0.00006283867,0.00002756962,0.0002064862,0.0000771735,0.00003986704,0.9817722,0.00001531051,0.0000383643,0.004388596],"study_design_scores_gemma":[0.0006677696,0.04878904,0.4113552,0.00007012767,0.0003346139,0.001473636,0.001075391,0.002398988,0.5290891,0.0002423292,0.004449185,0.00005466749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993578,0.0002711571,0.0001102891,0.00004134689,0.00001215554,0.000002868224,0.00005400861,0.000006238341,0.000144094],"genre_scores_gemma":[0.99723,0.0004292692,0.0007533974,0.0001640526,0.00001947136,0.00002238623,0.0002035449,0.0000142222,0.001163633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006645363,"threshold_uncertainty_score":0.002168953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02888291712417905,"score_gpt":0.2915618833574373,"score_spread":0.2626789662332583,"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."}}