{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003341501,0.0000997044,0.000287964,0.0000587955,0.0001188546,0.00002896034,0.0001106801,0.00006055257,0.0001246659],"category_scores_gemma":[0.00003644793,0.0000331675,0.0001025256,0.001664647,0.0001046824,0.00006209339,0.00001791003,0.00006504735,5.536203e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000962894,"about_ca_system_score_gemma":0.000008691121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001933315,"about_ca_topic_score_gemma":0.004238578,"domain_scores_codex":[0.9992021,0.00005105772,0.0002183836,0.0001881199,0.0001537076,0.0001866162],"domain_scores_gemma":[0.9991981,0.0004254101,0.000148111,0.00006158523,0.0001273339,0.00003950045],"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":[0.0003945916,0.00007140122,0.0384417,0.000008531139,0.0007900116,0.000001358187,0.0001092715,0.000124733,0.9569669,0.000133636,0.00002497972,0.002932918],"study_design_scores_gemma":[0.0002559589,0.0005720978,0.9315941,0.00001479104,0.0008060507,0.000001850067,0.000229301,0.005023525,0.06085728,0.0001496183,0.0003738578,0.0001215912],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978479,0.0007078944,0.0007749626,0.0003535244,0.00001023195,0.0001742633,0.00002949772,0.000016123,0.00008561983],"genre_scores_gemma":[0.9989227,0.0005274313,0.0003977851,0.00003583468,0.00004888692,0.0000133105,0.00002579834,9.259579e-7,0.00002733724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8961096,"threshold_uncertainty_score":0.2365226,"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."}}