{"id":"W2148696645","doi":"10.1093/jat/24.4.257","title":"Simple and Rapid Determination of Amphetamine, Methamphetamine, and Their Methylenedioxy Derivatives in Urine by Automated In-Tube Solid-Phase Microextraction Coupled with Liquid Chromatography-Electrospray Ionization Mass Spectrometry","year":2000,"lang":"en","type":"article","venue":"Journal of Analytical Toxicology","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Chromatography; Chemistry; Electrospray ionization; Detection limit; Mass spectrometry; Solid-phase microextraction; Electrospray; Extraction (chemistry); Solid phase extraction; Analytical Chemistry (journal); Selected ion monitoring; Gas chromatography–mass spectrometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005913281,0.0007297053,0.0006594178,0.0008556813,0.0003665583,0.0003577837,0.0005525182,0.0005969458,0.0004866574],"category_scores_gemma":[0.000800685,0.0005111227,0.0003022167,0.0004866797,0.0004095009,0.0004242977,0.000457066,0.000557601,0.0002963123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002506777,"about_ca_system_score_gemma":0.0007117111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006294874,"about_ca_topic_score_gemma":0.002336827,"domain_scores_codex":[0.9988406,0.0002256497,0.00007626314,0.0001916142,0.0006127521,0.00005317626],"domain_scores_gemma":[0.9995752,0.0001159608,0.00007429549,0.00002833971,0.0001599098,0.00004629339],"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":[0.00008618946,0.00007217927,0.001698416,0.0000985669,0.00003613939,0.00006936807,0.00002834685,0.00007987895,0.9853864,0.00003692725,0.00006944731,0.01233815],"study_design_scores_gemma":[0.0000644756,0.001215902,0.02666961,0.00002922435,0.00009630043,0.001769404,0.0000543541,0.005635745,0.9601728,0.0001024211,0.004117521,0.00007239515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8086479,0.01140203,0.1735479,0.0002758311,0.0001707238,0.0009754921,0.001136653,0.001501694,0.002341763],"genre_scores_gemma":[0.6684296,0.005105772,0.3200205,0.0003758491,0.0001217689,0.0008857262,0.001328127,0.0001007013,0.003631941],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0008556813,"threshold_uncertainty_score":0.003127277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01924853091709395,"score_gpt":0.3739683616754405,"score_spread":0.3547198307583465,"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."}}