{"id":"W2074668732","doi":"10.1016/j.jchromb.2006.10.024","title":"Determination of ziprasidone in human plasma by liquid chromatography–electrospray tandem mass spectrometry and its application to plasma level determination in schizophrenia patients","year":2006,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Chemistry; Chromatography; Triple quadrupole mass spectrometer; Electrospray ionization; Selected reaction monitoring; Mass spectrometry; Tandem mass spectrometry; Electrospray; Ziprasidone; Elution; Liquid chromatography–mass spectrometry; Analyte; Extraction (chemistry); Standard curve; Matrix (chemical analysis); Analytical Chemistry (journal); Antipsychotic","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":[0.0007915421,0.0004580733,0.000572772,0.0007583534,0.000654906,0.0006523507,0.0002842325,0.001045635,0.0005094536],"category_scores_gemma":[0.001862695,0.0004520057,0.0004207203,0.0004534208,0.000507894,0.0004068766,0.000308311,0.0009037705,0.0003463135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003271652,"about_ca_system_score_gemma":0.0007167366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001266635,"about_ca_topic_score_gemma":0.00138744,"domain_scores_codex":[0.9992157,0.0003054903,0.00007130291,0.0001356424,0.0002293222,0.00004248444],"domain_scores_gemma":[0.9994848,0.00018436,0.00010763,0.00003941705,0.0001068652,0.00007695369],"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":[0.005944588,0.0003208415,0.03374075,0.0002454496,0.0003013642,0.0007633191,0.000468675,0.0008007889,0.9026989,0.0003711656,0.000611612,0.05373259],"study_design_scores_gemma":[0.000366243,0.005061065,0.1039976,0.00006617302,0.0004008406,0.008716478,0.0002221429,0.016065,0.8585309,0.0006676753,0.005806717,0.00009908134],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624501,0.01113581,0.02115792,0.0008383241,0.0002434328,0.0001845548,0.0005611929,0.0006130576,0.00281567],"genre_scores_gemma":[0.9839495,0.001718006,0.01273979,0.0004821476,0.00008579311,0.0001014828,0.0001754417,0.00003002868,0.0007179232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001266635,"threshold_uncertainty_score":0.004186094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009653767666421823,"score_gpt":0.2680981814810762,"score_spread":0.2584444138146544,"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."}}