{"id":"W2050948423","doi":"10.1021/jf903854n","title":"Multiresidue Pesticide Analysis in Fresh Produce by Capillary Gas Chromatography−Mass Spectrometry/Selective Ion Monitoring (GC-MS/SIM) and −Tandem Mass Spectrometry (GC-MS/MS)<sup>†</sup>","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Food and Drug Administration","keywords":"Chemistry; Chromatography; Gas Chromatography/Tandem Mass Spectrometry; Mass spectrometry; Gas chromatography–mass spectrometry; Quechers; Tandem mass spectrometry; Selected ion monitoring; Gas chromatography; Selected reaction monitoring; Detection limit; Pesticide residue; Pesticide","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005749442,0.001045422,0.0005521344,0.001172942,0.0004739273,0.000552376,0.0007529699,0.0007965455,0.001908735],"category_scores_gemma":[0.0005659342,0.000463275,0.0004972284,0.0005725509,0.0005563969,0.0006779042,0.000620208,0.0006256522,0.0008641116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006647701,"about_ca_system_score_gemma":0.0005993153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00183704,"about_ca_topic_score_gemma":0.007589252,"domain_scores_codex":[0.9991778,0.00005119214,0.00002947783,0.0003186969,0.0003743046,0.00004862669],"domain_scores_gemma":[0.9995102,0.0001095476,0.00009956332,0.00005896822,0.0001742664,0.00004743999],"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":[0.0001085689,0.0000312357,0.002544894,0.00007942076,0.00003453856,0.00007194719,0.00002498399,0.0001006942,0.9795557,0.00003910742,0.0001328626,0.0172761],"study_design_scores_gemma":[0.00002480836,0.0008277373,0.02730747,0.00002078448,0.0001155966,0.001158241,0.00008944269,0.002633598,0.9622827,0.0001179872,0.005358338,0.00006329209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8504714,0.0078488,0.1324683,0.0002866798,0.0001406268,0.000520863,0.003287107,0.001665197,0.003311108],"genre_scores_gemma":[0.6929656,0.004240621,0.2854723,0.0008247211,0.00008535349,0.0006414988,0.003835203,0.0002930065,0.01164176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001908735,"threshold_uncertainty_score":0.006385386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006523634404875724,"score_gpt":0.2029533279893136,"score_spread":0.1964296935844379,"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."}}