{"id":"W4319027648","doi":"10.3390/toxins15020120","title":"Urinary and Serum Concentration of Deoxynivalenol (DON) and DON Metabolites as an Indicator of DON Contamination in Swine Diets","year":2023,"lang":"en","type":"article","venue":"Toxins","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome Prairie; University of Saskatchewan","funders":"Mitacs; Biomin; Ministry of Agriculture - Saskatchewan","keywords":"Contamination; Urinary system; Mycotoxin; Vomitoxin; Urine; Chemistry; Food contaminant; Food science; Chromatography; Environmental chemistry; Biology; Biochemistry; Endocrinology; Zearalenone; Ecology","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":[0.0001982738,0.00009141361,0.000184085,0.00002368111,0.00004539664,0.00001321351,0.00007910741,0.00009294832,0.00006875808],"category_scores_gemma":[0.0000352952,0.00003829357,0.00002293701,0.000308935,0.00006284383,0.0001749694,0.00004576927,0.00006178396,0.000001719491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007040303,"about_ca_system_score_gemma":0.000004518939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001316806,"about_ca_topic_score_gemma":0.0003505627,"domain_scores_codex":[0.9992565,0.00006551467,0.0002125486,0.0001913253,0.0001369843,0.000137155],"domain_scores_gemma":[0.9996707,0.00009169714,0.0001106785,0.00003782122,0.00003190884,0.00005718453],"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":[0.00004322718,0.0001545889,0.1806159,0.00003512837,0.00001116385,0.000004148307,0.0007330767,5.954614e-7,0.7960726,0.00158127,0.000029887,0.02071836],"study_design_scores_gemma":[0.0002302063,0.0006276451,0.8887567,0.00002553561,0.00001132719,0.000005171295,0.000955636,0.0000349779,0.108082,0.0003419929,0.0008484404,0.00008035183],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984209,0.0004793606,2.631201e-7,0.0003495356,0.00003333571,0.0002204403,0.00005039157,0.00002731911,0.0004184508],"genre_scores_gemma":[0.9990642,0.00066155,0.00002027236,0.00003990688,0.0000582853,0.000008682865,0.00008393413,7.656353e-7,0.00006237104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7081408,"threshold_uncertainty_score":0.1561566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443341828328814,"score_gpt":0.237417868588513,"score_spread":0.2229844503052248,"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."}}