{"id":"W2141007965","doi":"10.1016/j.forsciint.2011.10.002","title":"Simultaneous detection of seventeen drugs of abuse and metabolites in hair using solid phase micro extraction (SPME) with GC/MS","year":2011,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Hospital for Sick Children; University of Toronto; University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Hydromorphone; Codeine; Benzoylecgonine; Oxymorphone; Hydrocodone; Oxycodone; Hair analysis; Methamphetamine; Solid phase extraction; Chromatography; Chemistry; MDMA; Pharmacology; Morphine; Methadone; Opioid; Extraction (chemistry); Medicine; Urine","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":[0.0003439849,0.0006637742,0.0004290712,0.000958044,0.0006683418,0.000303951,0.0002962736,0.0005586647,0.0008926305],"category_scores_gemma":[0.000639266,0.0003974928,0.0003449869,0.0005725589,0.00046375,0.000430425,0.0004721372,0.0004991236,0.000356548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003259109,"about_ca_system_score_gemma":0.0007012869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001674336,"about_ca_topic_score_gemma":0.005340988,"domain_scores_codex":[0.9994324,0.00005869355,0.00003122207,0.0001735307,0.0002472133,0.00005691574],"domain_scores_gemma":[0.9996527,0.0001019855,0.00006853856,0.0000177638,0.000107063,0.00005193048],"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":[0.0006446503,0.00008295709,0.01036461,0.0002337863,0.000103803,0.0002581016,0.0001245243,0.0001524742,0.9548104,0.00006414897,0.0001220925,0.03303842],"study_design_scores_gemma":[0.00006330256,0.001729301,0.07005058,0.00005466695,0.0002434479,0.003185574,0.0001891604,0.001980916,0.9157639,0.0002223311,0.006460949,0.00005582379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795928,0.004957876,0.01180416,0.0001788223,0.00009112295,0.0001704545,0.001336096,0.0001744402,0.001694193],"genre_scores_gemma":[0.9465046,0.003696957,0.0449895,0.0002904388,0.00007700385,0.0001831464,0.0006076004,0.00003821474,0.003612645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001674336,"threshold_uncertainty_score":0.003329217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05682601126509322,"score_gpt":0.4192515200207446,"score_spread":0.3624255087556513,"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."}}