{"id":"W2898273716","doi":"10.3390/toxics6040064","title":"Pressurized Solvent Extraction with Ethyl Acetate and Liquid Chromatography—Tandem Mass Spectrometry for the Analysis of Selected Conazole Fungicides in Matcha","year":2018,"lang":"en","type":"article","venue":"Toxics","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Chromatography; Extraction (chemistry); Mass spectrometry; Ethyl acetate; Tandem mass spectrometry; Matrix (chemical analysis); Liquid chromatography–mass spectrometry; Solid phase extraction; Solvent; Electrospray; Electrospray ionization; Analyte; Sample preparation; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004950706,0.0007600634,0.0007586437,0.000720426,0.0006171156,0.0006701464,0.0003469227,0.0005667439,0.001656704],"category_scores_gemma":[0.0005570724,0.0003280234,0.0004823412,0.0007234721,0.000371203,0.0004432295,0.0004129331,0.0006409712,0.0009033142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000336879,"about_ca_system_score_gemma":0.0006314953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001897684,"about_ca_topic_score_gemma":0.004339795,"domain_scores_codex":[0.9993809,0.00007941002,0.00005875023,0.000162471,0.0002657485,0.00005260163],"domain_scores_gemma":[0.9997818,0.00005379604,0.00005342919,0.00002696784,0.00006726101,0.00001688484],"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":[0.00008046024,0.00002050667,0.0003421591,0.00007231184,0.00001096545,0.00005603184,0.00001801026,0.00003742859,0.9960715,0.00002362833,0.00003150268,0.003235507],"study_design_scores_gemma":[0.00001406789,0.0003329318,0.0145497,0.00002711191,0.00006453849,0.0004122445,0.00007075442,0.001730214,0.9761385,0.00006488433,0.006572309,0.00002260813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9036296,0.01294516,0.07427442,0.0003182853,0.0002002431,0.0006229988,0.002723343,0.00097655,0.004309376],"genre_scores_gemma":[0.8419013,0.009398582,0.1255044,0.0009145572,0.00007613606,0.0009028513,0.005172568,0.0003765757,0.01575298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001897684,"threshold_uncertainty_score":0.005542278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506086571112172,"score_gpt":0.2496329997420982,"score_spread":0.2345721340309765,"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."}}