{"id":"W2024290100","doi":"10.1016/j.clinbiochem.2003.11.006","title":"Urinary screening for methylphenidate (Ritalin) abuse: a comparison of liquid chromatography–tandem mass spectrometry, gas chromatography–mass spectrometry, and immunoassay methods","year":2003,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; Saskatchewan Health","funders":"","keywords":"Chromatography; Mass spectrometry; Chemistry; Liquid chromatography–mass spectrometry; Selected reaction monitoring; Immunoassay; Detection limit; Gas Chromatography/Tandem Mass Spectrometry; Metabolite; Tandem mass spectrometry; Methylphenidate; Atmospheric-pressure chemical ionization; Drugs of abuse; Gas chromatography; Electrospray ionization; Gas chromatography–mass spectrometry; Urine; Chemical ionization; Drug; Medicine; Attention deficit hyperactivity disorder; Pharmacology; Ionization","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":[0.004702843,0.0009231583,0.001237868,0.003034714,0.0006085777,0.001029314,0.001081323,0.001708569,0.000472064],"category_scores_gemma":[0.009336059,0.0006547855,0.0007612718,0.001570359,0.0006642799,0.0009348076,0.0007442023,0.001165698,0.0003525408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006080072,"about_ca_system_score_gemma":0.001321087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005103625,"about_ca_topic_score_gemma":0.01063001,"domain_scores_codex":[0.991734,0.003415288,0.0004674765,0.000870706,0.00330263,0.000209903],"domain_scores_gemma":[0.9937006,0.002809472,0.0007774176,0.0002896587,0.002035557,0.000387229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005858777,0.001368607,0.7531883,0.0008396321,0.00200217,0.0003702836,0.0006404251,0.0005421807,0.0691643,0.0004636818,0.0014319,0.1641297],"study_design_scores_gemma":[0.0004776877,0.006957037,0.8929471,0.0002925577,0.00125568,0.009384923,0.0007653869,0.01126519,0.07025461,0.0004168364,0.005840578,0.0001425791],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9325712,0.03181809,0.02428444,0.001607439,0.0006117126,0.0004590495,0.001448692,0.0006027247,0.006596628],"genre_scores_gemma":[0.9479734,0.008076972,0.03823296,0.001817381,0.000243134,0.0002001882,0.00110872,0.00005884629,0.002288462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005103625,"threshold_uncertainty_score":0.02487129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1009056893562594,"score_gpt":0.4809231495858983,"score_spread":0.3800174602296389,"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."}}