{"id":"W4281557880","doi":"10.1016/j.anscip.2022.03.291","title":"P88. Effects of dietary zinc/copper ratios on the metabolism of zinc, copper, and iron in weaned pigs","year":2022,"lang":"en","type":"article","venue":"Animal - science proceedings","topic":"Trace Elements in Health","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre de Recherche en Sciences Animales de Deschambault; Université Laval; Agriculture and Agri-Food Canada","funders":"","keywords":"Zinc; Copper; Metabolism; Copper metabolism; Animal science; Chemistry; Biology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001808109,0.0001730876,0.0002966593,0.0002744358,0.0005179575,0.00004409181,0.0005865971,0.00003683099,0.00003475255],"category_scores_gemma":[0.0005337776,0.0001365312,0.00003996174,0.001135624,0.0006697774,0.0005122248,0.0003050317,0.0003623425,0.000002527228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001433321,"about_ca_system_score_gemma":0.0000940753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001918223,"about_ca_topic_score_gemma":0.00001120781,"domain_scores_codex":[0.9975876,0.00004840069,0.0004095987,0.0004890746,0.0009745149,0.0004908275],"domain_scores_gemma":[0.9991106,0.0002701237,0.0002722649,0.0001521694,0.0001053325,0.00008945838],"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":[0.0005605615,0.0002744754,0.03336938,0.0003289807,0.000005659314,0.0000018004,0.008866788,0.000009243999,0.9470788,0.005798862,0.001511161,0.002194248],"study_design_scores_gemma":[0.001233788,0.003500067,0.7045788,0.0001933047,0.00004721422,0.0000139355,0.004115407,0.0009733738,0.2833807,0.0007204875,0.0009481061,0.0002948896],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994388,0.0004175911,2.154554e-7,0.003112806,0.0003472681,0.0008014269,0.000008026437,0.00002804727,0.0008966453],"genre_scores_gemma":[0.9986936,0.00002319233,0.0003456682,0.0007783615,0.00004463301,0.00007322533,7.357366e-7,0.00001782842,0.00002277978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6712094,"threshold_uncertainty_score":0.556758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02055394523379192,"score_gpt":0.2906382681772388,"score_spread":0.2700843229434469,"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."}}