{"id":"W1977520819","doi":"10.1016/j.fct.2012.02.070","title":"Chemical reduction of the mycotoxin beauvericin using allyl isothiocyanate","year":2012,"lang":"en","type":"article","venue":"Food and Chemical Toxicology","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Ministerio de Ciencia e Innovación; Universitat de València; Ministerio de Ciencia, Innovación y Universidades","keywords":"Beauvericin; Allyl isothiocyanate; Chemistry; Mycotoxin; Chromatography; Chromatography detector; Mass spectrometry; Adduct; High-performance liquid chromatography; Organic chemistry; Food science","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":[0.0001848954,0.000314713,0.0001706733,0.0001799137,0.0001602196,0.0001758661,0.0002194387,0.0004884236,0.0008788941],"category_scores_gemma":[0.0001539602,0.0001559737,0.0002807618,0.0001550233,0.0002937439,0.0001636768,0.0001853024,0.0003838534,0.0002899507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003417734,"about_ca_system_score_gemma":0.0002167217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00153147,"about_ca_topic_score_gemma":0.002747652,"domain_scores_codex":[0.9997885,0.0000253691,0.000009291218,0.00003587011,0.00007433751,0.00006668224],"domain_scores_gemma":[0.9998891,0.00002293938,0.00002967879,0.00002082109,0.00002072222,0.00001669364],"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":[0.00005003135,0.000007380167,0.00005759199,0.00001124918,0.000003314639,0.00002708589,0.000008834428,0.00007622172,0.9991145,0.00005075259,0.000022333,0.0005707669],"study_design_scores_gemma":[0.0000028589,0.00007456159,0.0002307777,5.085614e-7,0.000002262159,0.00002568147,0.000004572554,0.0001319548,0.9992415,0.000006919116,0.0002775149,9.96432e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883902,0.0007892937,0.006934246,0.000125426,0.00005651411,0.00002632786,0.00006327849,0.00009752273,0.003517233],"genre_scores_gemma":[0.9948901,0.0003600618,0.001629755,0.00004890754,0.000006422141,0.000004073283,0.00009800561,0.0000162996,0.002946372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00153147,"threshold_uncertainty_score":0.003045142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117616986265328,"score_gpt":0.219107903519588,"score_spread":0.1979317336569347,"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."}}