{"id":"W2010208140","doi":"10.1021/ac300844d","title":"Protocol for an Electrospray Ionization Tandem Mass Spectral Product Ion Library: Development and Application for Identification of 240 Pesticides in Foods","year":2012,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sciex (Canada); Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Chemistry; Chromatography; Electrospray ionization; Quechers; Mass spectrometry; Carbendazim; Tandem mass spectrometry; Pesticide; Pesticide residue; Azoxystrobin; Selected reaction monitoring; Fungicide","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":[],"consensus_categories":[],"category_scores_codex":[0.0003362459,0.00009694933,0.0001608735,0.00001002217,0.00007622841,0.00002995072,0.00009308713,0.00007215463,0.00002247022],"category_scores_gemma":[0.0001154894,0.00004850608,0.00004251084,0.0002288972,0.000032531,0.0002139,0.00001255308,0.00004466171,4.814599e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000252868,"about_ca_system_score_gemma":0.0000211713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006612384,"about_ca_topic_score_gemma":0.00001221229,"domain_scores_codex":[0.9990612,0.0000168522,0.0003602977,0.0002376537,0.0001094712,0.0002145207],"domain_scores_gemma":[0.9995655,0.00009480241,0.0001400899,0.00005586907,0.00006115205,0.00008256119],"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":[0.00008167162,0.0002269542,0.1315829,0.0001263169,0.00001394498,4.38746e-8,0.00002467051,0.0000299395,0.8575913,0.000942439,0.00004411392,0.009335651],"study_design_scores_gemma":[0.000209653,0.00007025334,0.2561316,0.00001621401,0.00003085033,8.58474e-7,0.00003209471,0.00704232,0.7324594,0.001501808,0.002365579,0.0001393583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784933,0.00001897239,0.006518147,0.0004029509,0.000005728029,0.01433109,0.00001163766,0.00002906124,0.0001891037],"genre_scores_gemma":[0.9851216,0.000001744135,0.0009992339,0.00001378156,0.0001988786,0.01331483,0.0002548684,0.000001742072,0.00009332019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1251319,"threshold_uncertainty_score":0.1978021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02637615441964694,"score_gpt":0.2875495669403826,"score_spread":0.2611734125207357,"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."}}