{"id":"W2095082538","doi":"10.3920/wmj2010.1212","title":"Multiresidue mycotoxin analysis in wheat, barley, oats, rye and maize grain by high-performance liquid chromatography-tandem mass spectrometry","year":2010,"lang":"en","type":"article","venue":"World Mycotoxin Journal","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Mycotoxin; Chromatography; Chemistry; Ochratoxin A; Quechers; Aflatoxin; Extraction (chemistry); Sterigmatocystin; Electrospray; Tandem mass spectrometry; Mass spectrometry; Beauvericin; Sample preparation; Triticale; Pesticide residue; Food science; Agronomy; Pesticide; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004216989,0.000761295,0.0005573916,0.001104568,0.0004731423,0.0007277532,0.0003424716,0.0005986376,0.0004639142],"category_scores_gemma":[0.0004371881,0.0003140596,0.0003994202,0.0005991625,0.0002722231,0.0003228093,0.0004990016,0.0003702249,0.0002611368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004401932,"about_ca_system_score_gemma":0.0004826555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002000495,"about_ca_topic_score_gemma":0.004334973,"domain_scores_codex":[0.9994592,0.00005486966,0.00003943067,0.0001786124,0.0002224151,0.00004539243],"domain_scores_gemma":[0.999832,0.00003277645,0.00004413306,0.00001313797,0.00004990639,0.00002801193],"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":[0.0001308305,0.00001799801,0.001371942,0.0000565984,0.00003807799,0.00006118719,0.00002284395,0.00008607301,0.9948955,0.00001563784,0.00001682656,0.003286547],"study_design_scores_gemma":[0.00005976108,0.001032683,0.1085494,0.00004288196,0.0002418997,0.001854642,0.0001422437,0.003625588,0.8795201,0.0001525842,0.004714117,0.00006410223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705541,0.005353218,0.02159281,0.00006213049,0.00003383615,0.000144881,0.001059576,0.0003219981,0.0008775188],"genre_scores_gemma":[0.9483544,0.003439198,0.04253843,0.0001499168,0.00002639695,0.00022073,0.00171548,0.00007611104,0.003479465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002000495,"threshold_uncertainty_score":0.003977716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004897863326974876,"score_gpt":0.1951708028804213,"score_spread":0.1902729395534465,"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."}}