{"id":"W2007962751","doi":"10.1016/j.jpba.2008.05.008","title":"Determination of ketamine and norketamine in plasma by micro-liquid chromatography–mass spectrometry","year":2008,"lang":"en","type":"article","venue":"Journal of Pharmaceutical and Biomedical Analysis","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Chemistry; Chromatography; Detection limit; Analyte; Formic acid; Mass spectrometry; Extraction (chemistry); Solid phase extraction; Calibration curve; Analytical Chemistry (journal); Matrix (chemical analysis)","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":[0.0007827202,0.0007741481,0.0008314466,0.0007790045,0.0009050501,0.0007285605,0.0005681704,0.0009891735,0.0009115982],"category_scores_gemma":[0.001678466,0.0004335007,0.0004039349,0.000514315,0.0007278471,0.0007632792,0.0004418633,0.001207098,0.0007187452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004086245,"about_ca_system_score_gemma":0.00111577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001123247,"about_ca_topic_score_gemma":0.001633008,"domain_scores_codex":[0.9987453,0.0003069579,0.0001038167,0.0002891054,0.0004340817,0.0001206577],"domain_scores_gemma":[0.9993862,0.0001881221,0.0001069746,0.00004999344,0.0001541429,0.0001144937],"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":[0.003674226,0.0002043391,0.008618224,0.0001377075,0.0001728032,0.0002985014,0.0001721932,0.0002934171,0.9572762,0.0004894319,0.0006257404,0.0280373],"study_design_scores_gemma":[0.0001882645,0.002055523,0.03344376,0.00004534535,0.0001664918,0.002983109,0.0001409893,0.007251745,0.9466497,0.0008643918,0.006141829,0.00006879702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8460526,0.02874733,0.1096421,0.001708514,0.001166903,0.0005895067,0.00298507,0.001752191,0.00735581],"genre_scores_gemma":[0.9345664,0.005821006,0.05236749,0.001422924,0.0003540891,0.000647103,0.001471151,0.0001222467,0.003227665],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001123247,"threshold_uncertainty_score":0.004139423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052798630970703,"score_gpt":0.2756824158820916,"score_spread":0.2651544295723846,"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."}}