{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005062134,0.0004984685,0.00098802,0.0001299038,0.0003243782,0.0002453093,0.0004070598,0.0003627873,0.0001530411],"category_scores_gemma":[0.0002308761,0.0002122583,0.0004723656,0.002368135,0.0001555041,0.0003769901,0.00008915176,0.001105094,0.00000125418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009889103,"about_ca_system_score_gemma":0.00002462838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002791637,"about_ca_topic_score_gemma":0.0002950769,"domain_scores_codex":[0.9970263,0.00009460829,0.0008929579,0.0006521869,0.0006772425,0.0006566722],"domain_scores_gemma":[0.9981224,0.0003143153,0.0006600354,0.0001251998,0.0003148478,0.0004631912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002976126,0.0001071766,0.3050536,0.00002646051,0.0004809798,0.00002152399,0.00006451616,0.00005775849,0.6936145,0.000002636617,0.0002035122,0.0003375344],"study_design_scores_gemma":[0.0003640716,0.0002998969,0.6921636,0.00006326401,0.0004547288,0.0001912303,0.0007093037,0.00005928967,0.3051156,0.0001531074,0.00005331886,0.0003725105],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944617,0.004168214,0.000007903317,0.0006964044,0.0000615544,0.0001318763,0.00004200563,0.00003003051,0.0004003058],"genre_scores_gemma":[0.9958966,0.002034751,0.0006874159,0.00001914787,0.001229082,0.000005850669,0.00005289603,0.000004368679,0.00006992197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3884989,"threshold_uncertainty_score":0.8655644,"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."}}