{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001446607,0.0003294608,0.001085996,0.001062938,0.00009594011,0.00001753802,0.0001571314,0.0005404672,0.0007955065],"category_scores_gemma":[0.0002699195,0.0002620783,0.0001294463,0.001339684,0.0007580239,0.0003284178,0.00002553116,0.0008339816,0.000001323021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001111145,"about_ca_system_score_gemma":0.0001132984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001463096,"about_ca_topic_score_gemma":0.00009833246,"domain_scores_codex":[0.9969645,0.0008815655,0.001156973,0.000355339,0.0001715579,0.0004700306],"domain_scores_gemma":[0.9977157,0.001098703,0.000624985,0.000135475,0.0002050385,0.0002200683],"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":[0.006780188,0.002277453,0.01623731,0.00009362716,0.0008638292,0.0001899804,0.0006151355,0.001112576,0.9591675,0.000209619,0.0002353265,0.01221749],"study_design_scores_gemma":[0.02017287,0.01499638,0.05336273,0.00008982929,0.001207652,0.001228368,0.0008550605,0.3760652,0.5286405,0.00100073,0.001598036,0.0007825922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910244,0.001494501,0.006324299,0.0006462504,0.00007306397,0.0002385035,0.00002094694,0.00002809125,0.0001499147],"genre_scores_gemma":[0.9953333,0.002498386,0.001653445,0.0003470914,0.00005989056,0.000008324559,0.0000284472,0.00002245917,0.00004861248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4305269,"threshold_uncertainty_score":0.9999831,"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."}}