{"id":"W2041293152","doi":"10.1016/j.jpba.2010.04.018","title":"High performance liquid chromatographic assay for the simultaneous determination of midazolam and ketoconazole in plasma","year":2010,"lang":"en","type":"article","venue":"Journal of Pharmaceutical and Biomedical Analysis","topic":"Analytical Methods in Pharmaceuticals","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Chemistry; Chromatography; High-performance liquid chromatography; Pharmacokinetics; Diethyl ether; Calibration curve; Ketoconazole; Midazolam; Detection limit; Potassium; Elution; Ether; Quantitative analysis (chemistry); Pharmacology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00213316,0.0001906991,0.0006431852,0.0003792655,0.00009123068,0.00003066238,0.0003011715,0.0002288668,0.0005046806],"category_scores_gemma":[0.001566543,0.0001140709,0.000265625,0.0007951212,0.0009957619,0.0001042972,0.00009592108,0.0008299762,5.301047e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001774841,"about_ca_system_score_gemma":0.00004524623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005731652,"about_ca_topic_score_gemma":0.00000634527,"domain_scores_codex":[0.9978794,0.0000838928,0.000969954,0.0002250893,0.0005328225,0.0003088579],"domain_scores_gemma":[0.9939133,0.005008283,0.0003466136,0.0001431258,0.0002101885,0.0003785108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001691434,0.0007525213,0.01427091,0.000733452,0.001653434,0.00006930678,0.0001329437,0.00007734053,0.5897618,0.0006218798,0.0000220667,0.3902129],"study_design_scores_gemma":[0.00256546,0.0002753183,0.001638794,0.00008014749,0.003970415,0.0001517289,0.00009059032,0.8255914,0.1594554,0.0005733734,0.005363975,0.0002433723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874134,0.0003872491,0.01017887,0.001736755,0.000114602,0.0000979594,0.0000234737,0.000007569713,0.00004010464],"genre_scores_gemma":[0.9904429,0.0008231653,0.008324893,0.0001296749,0.0002315828,0.000009090912,0.000002941207,0.00001076957,0.00002498885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8255141,"threshold_uncertainty_score":0.5525898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027926151548365,"score_gpt":0.345696534080054,"score_spread":0.3254172725645704,"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."}}