{"id":"W2238692515","doi":"10.1016/j.forsciint.2015.12.004","title":"Determination of hair ketamine cut-off value from Hong Kong ketamine users by LC–MS/MS analysis","year":2015,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Ketamine; Hair analysis; Chromatography; Medicine; Chemistry; Pharmacology; Anesthesia; Pathology; Alternative medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003320422,0.0003997846,0.0002755635,0.0007951292,0.0005225049,0.0004135364,0.0002158733,0.0003066053,0.001590564],"category_scores_gemma":[0.0005791393,0.000236371,0.0002743712,0.0004339116,0.0003892356,0.0001358992,0.0002423532,0.0003290598,0.0003514042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004092131,"about_ca_system_score_gemma":0.0005862548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01790612,"about_ca_topic_score_gemma":0.02978521,"domain_scores_codex":[0.9996907,0.00003070502,0.00003874626,0.00006265121,0.0001262136,0.00005108057],"domain_scores_gemma":[0.9996268,0.00005651969,0.00008613754,0.00002061304,0.0001684906,0.00004140961],"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":[0.001725606,0.0002839492,0.433814,0.0004957139,0.0003381076,0.003085037,0.001502524,0.0001797466,0.5008544,0.0002407407,0.001362274,0.05611794],"study_design_scores_gemma":[0.00003805382,0.0007893223,0.8870034,0.00009691156,0.0002915564,0.004789032,0.00129834,0.0008691178,0.09947404,0.00007476385,0.005233456,0.00004211042],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948325,0.0009438026,0.001251036,0.00006751496,0.00003879561,0.00008266521,0.0007271838,0.00004585147,0.002010626],"genre_scores_gemma":[0.9934613,0.0006181345,0.00252184,0.0001995221,0.0000145454,0.00005853695,0.000660203,0.00001371461,0.002452152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01790612,"threshold_uncertainty_score":0.03560382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06239026835844661,"score_gpt":0.3975209127331054,"score_spread":0.3351306443746587,"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."}}