{"id":"W2077463963","doi":"10.1016/j.jchromb.2009.01.030","title":"Quantitative analysis of propofol in whole blood using capillary electrophoresis","year":2009,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Capillary electrophoresis; Chemistry; Propofol; Whole blood; Chromatography; Reproducibility; Cardiopulmonary bypass; Blood concentration; Therapeutic drug monitoring; Quantitative analysis (chemistry); Dried blood spot; Anesthesia; Pharmacology; Surgery; Pharmacokinetics; Medicine","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":[0.0002000166,0.0001513812,0.000548136,0.001656848,0.00003181534,0.00001518429,0.0001963966,0.00007826832,0.00002618752],"category_scores_gemma":[0.000009645906,0.0001386033,0.0004115494,0.003291227,0.0000450306,0.000114306,0.000005475832,0.0001910767,6.192868e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003805406,"about_ca_system_score_gemma":0.00005307603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001273427,"about_ca_topic_score_gemma":0.000005351113,"domain_scores_codex":[0.9986764,0.00004241981,0.0006897176,0.0001035693,0.0002536327,0.000234217],"domain_scores_gemma":[0.9993296,0.0000331667,0.0002458156,0.0001789999,0.0001401709,0.00007225566],"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":[0.00002818404,0.0001400181,0.002832934,0.00002136854,0.001268529,0.00002202654,0.0002308587,0.00124882,0.9920509,0.0005173658,0.001497773,0.0001412098],"study_design_scores_gemma":[0.001435352,0.001352847,0.1189989,0.0002013122,0.00471299,0.000184193,0.0005155038,0.008774356,0.8597622,0.001781636,0.001684018,0.0005967182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9346942,0.06344225,0.001545331,0.00003828271,0.000020909,0.00008678321,0.000006751885,0.00001622545,0.0001492485],"genre_scores_gemma":[0.9796847,0.01913992,0.001114044,0.00001909562,0.00002146376,0.000001428742,0.00000369488,0.00001405074,0.000001576982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1322887,"threshold_uncertainty_score":0.565208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008016857154639415,"score_gpt":0.2357633116198787,"score_spread":0.2277464544652393,"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."}}