{"id":"W2792096245","doi":"10.3390/toxins10030113","title":"Individual and Combined Occurrence of Mycotoxins in Feed Ingredients and Complete Feeds in China","year":2018,"lang":"en","type":"article","venue":"Toxins","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Mycotoxin; Zearalenone; Aflatoxin; Contamination; Animal feed; Livestock; Biology; Feed additive; Food contaminant; Toxicology; Food science; Biotechnology; Animal science; Ecology","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":[0.0006515224,0.0004142551,0.0003659354,0.001923484,0.0004649238,0.0006153854,0.0002674599,0.0003642234,0.0003055703],"category_scores_gemma":[0.0004478127,0.0002269276,0.0003898138,0.002329953,0.0004352566,0.0004412643,0.0004771604,0.0001918843,0.00005336869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009615655,"about_ca_system_score_gemma":0.0008219308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03163911,"about_ca_topic_score_gemma":0.05527106,"domain_scores_codex":[0.9993754,0.00006467952,0.00007352294,0.0001581957,0.0002308047,0.00009744137],"domain_scores_gemma":[0.9994498,0.00004543254,0.0002562474,0.0000277444,0.0001744661,0.00004626565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001155698,0.00002040635,0.9654483,0.0001265644,0.0001204666,0.0007511087,0.0005456049,0.0002914431,0.01789959,0.00006933994,0.0001452799,0.0144664],"study_design_scores_gemma":[0.000002337716,0.00005277098,0.9957814,0.00001234273,0.00004634869,0.0003106703,0.0003685407,0.0003053988,0.00231302,0.00003405308,0.0007643345,0.000008743429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988297,0.0004570121,0.0001498873,0.00002504725,0.000003306282,0.000004746969,0.0002597324,0.000003346903,0.000267201],"genre_scores_gemma":[0.9979284,0.0006077247,0.0004291951,0.00005489262,0.000005529094,0.000007211876,0.0005591984,0.000003135794,0.0004048771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03163911,"threshold_uncertainty_score":0.0629099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106970372735414,"score_gpt":0.225712729614467,"score_spread":0.2046430258871129,"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."}}