{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001409419,0.0002694537,0.0001555549,0.0003323051,0.0001675149,0.0001965552,0.0002092335,0.0003911171,0.0003212797],"category_scores_gemma":[0.0001643996,0.0002122224,0.0001820732,0.0001896098,0.0001758471,0.0001571249,0.0001130139,0.0003137627,0.0000971254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001728512,"about_ca_system_score_gemma":0.0001649685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002127035,"about_ca_topic_score_gemma":0.002551656,"domain_scores_codex":[0.9998825,0.00001948104,0.000005733597,0.00004038457,0.00004013286,0.00001180022],"domain_scores_gemma":[0.9998895,0.00002350627,0.00003355293,0.000007697167,0.0000323866,0.00001335424],"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":[0.00006287552,0.000007722778,0.0008530814,0.00001555167,0.000006477364,0.00003557047,0.00001966354,0.00006764202,0.9980327,0.00001712393,0.000008672326,0.000873004],"study_design_scores_gemma":[0.000006363146,0.0003195623,0.01516481,0.000005620257,0.00003871186,0.0002461026,0.00009193394,0.00305849,0.9802647,0.00005330429,0.0007380455,0.00001253778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942976,0.001062228,0.003591346,0.0000603919,0.000008310878,0.00001009616,0.0001618347,0.00003515363,0.0007731066],"genre_scores_gemma":[0.9915437,0.0005328104,0.00575542,0.00002782713,0.00000379671,0.00001500852,0.0001490856,0.000006897499,0.001965582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002127035,"threshold_uncertainty_score":0.004229367,"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."}}