{"id":"W2519045169","doi":"10.1016/j.foodchem.2016.09.051","title":"Determination of trace thiophanate-methyl and its metabolite carbendazim with teratogenic risk in red bell pepper (Capsicumannuum L.) by surface-enhanced Raman imaging technique","year":2016,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":157,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Natural Science Foundation of Guangdong Province","keywords":"Metabolite; Carbendazim; Chemistry; Partial least squares regression; Support vector machine; Multivariate statistics; Pepper; Chromatography; Biological system; Horticulture; Artificial intelligence; Mathematics; Food science; Biology; Fungicide; Biochemistry; Computer science; Statistics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001914388,0.0003431754,0.000482786,0.000079298,0.00007107057,0.00002874246,0.0002717999,0.0002182028,0.0003165655],"category_scores_gemma":[0.0001228318,0.0002676075,0.00009338232,0.0004603507,0.0001138547,0.0002178018,0.0000728877,0.0002977606,0.000001586405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001116766,"about_ca_system_score_gemma":0.00005392795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002917915,"about_ca_topic_score_gemma":0.000009660889,"domain_scores_codex":[0.9982566,0.00002601746,0.0004394604,0.0005888471,0.0002852012,0.0004038381],"domain_scores_gemma":[0.9988578,0.0001176856,0.0003712503,0.0004002031,0.000136859,0.0001161923],"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":[0.00007672967,0.00008830587,0.003117845,0.0002403405,0.00008002764,0.000004745759,0.0001209339,0.000001284889,0.9953691,0.000002081866,0.00003624442,0.0008623532],"study_design_scores_gemma":[0.001307118,0.00003495118,0.0001517057,0.0001234512,0.0001921297,0.00001865945,0.0002179857,0.000057685,0.9972834,0.00009829947,0.0001515534,0.0003630499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904805,0.005266159,0.0006398376,0.00007673713,0.00001009103,0.0001153835,0.0002344284,0.00007811713,0.00309871],"genre_scores_gemma":[0.9971898,0.0004594423,0.0007258349,0.000008318191,0.00003513226,0.00004787883,0.00002774261,0.00004695047,0.001458879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006709285,"threshold_uncertainty_score":0.9999776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004834230312909985,"score_gpt":0.2275942305733568,"score_spread":0.2227600002604468,"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."}}