{"id":"W2125789792","doi":"10.1093/jat/32.8.631","title":"Effects of Tissue Type and the Dose-Death Interval on the Detection of Acute Ketamine Exposure in Bone and Marrow with Solid-Phase Extraction and ELISA with Liquid Chromatography-Tandem Mass Spectrometry Confirmation","year":2008,"lang":"en","type":"article","venue":"Journal of Analytical Toxicology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chromatography; Chemistry; Ketamine; Tandem mass spectrometry; Solid phase extraction; Detection limit; Bone marrow; Extraction (chemistry); Liquid chromatography–mass spectrometry; Mass spectrometry; Internal medicine; Medicine; Anesthesia","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":[0.0008289705,0.0006248974,0.0003960095,0.0004902778,0.0001715791,0.000383578,0.0002444532,0.0003040466,0.001107075],"category_scores_gemma":[0.0008225407,0.0003068097,0.000367602,0.0004093803,0.0003976439,0.0002639022,0.000220631,0.0004567933,0.0004022211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002304452,"about_ca_system_score_gemma":0.000333499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005701146,"about_ca_topic_score_gemma":0.002171993,"domain_scores_codex":[0.9990177,0.0001921362,0.00009677298,0.0002335406,0.0003484996,0.0001113267],"domain_scores_gemma":[0.9991153,0.0002699397,0.0002631923,0.00008011289,0.0001838115,0.00008761135],"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":[0.0009977556,0.0001035356,0.00422621,0.0000603691,0.00003450445,0.000037146,0.00002442573,0.00006143404,0.991911,0.000020613,0.00002793366,0.002495097],"study_design_scores_gemma":[0.0000305309,0.002978634,0.1011701,0.0000166842,0.0001051182,0.0003164951,0.00006092779,0.0008896524,0.8935495,0.00004638742,0.0008202157,0.00001568534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982634,0.003547971,0.01069328,0.00006522553,0.00005267129,0.0001891847,0.001089943,0.0001020781,0.001625556],"genre_scores_gemma":[0.9719858,0.002685969,0.01902505,0.0001634024,0.00003104446,0.0005390391,0.002279725,0.00004536468,0.003244638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001107075,"threshold_uncertainty_score":0.004384041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009086167106220832,"score_gpt":0.2805785991433931,"score_spread":0.2714924320371723,"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."}}