{"id":"W2106876726","doi":"10.1002/bmc.967","title":"A stereospecific high‐performance liquid chromatographic assay for the determination of ketoconazole enantiomers in rat plasma","year":2008,"lang":"en","type":"article","venue":"Biomedical Chromatography","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Chemistry; Chromatography; Enantiomer; Diethyl ether; Protein precipitation; Calibration curve; Hexane; Stereospecificity; High-performance liquid chromatography; Pharmacokinetics; Detection limit; Stereochemistry; Organic 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004594211,0.0004378186,0.0006417353,0.0005579638,0.0003188584,0.00002576811,0.000774322,0.0004385078,0.0005035283],"category_scores_gemma":[0.00009315817,0.0003287484,0.0005921963,0.002149599,0.001852203,0.0001919533,0.00009518009,0.0003648394,0.000008696691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003832135,"about_ca_system_score_gemma":0.0001142819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003100971,"about_ca_topic_score_gemma":0.000007181899,"domain_scores_codex":[0.9968041,0.00004131676,0.001040314,0.0006004208,0.0007986917,0.000715123],"domain_scores_gemma":[0.9978637,0.0007235046,0.0003601735,0.0006600044,0.0001290535,0.0002635505],"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":[0.002707361,0.004261911,0.1573217,0.007168734,0.001120944,0.0002392707,0.001241104,0.0000180586,0.7992284,0.002363787,0.005635818,0.01869296],"study_design_scores_gemma":[0.008800425,0.0008155748,0.02040277,0.00103992,0.0003153545,0.000375705,0.0007024526,0.01143863,0.9140805,0.0003541685,0.04011934,0.001555165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957941,0.0004977792,0.001656142,0.0001692393,0.0001855608,0.0003632066,0.00009234983,0.0001417898,0.001099805],"genre_scores_gemma":[0.997743,0.0006746167,0.0007573038,0.00004934421,0.0001868664,0.0003323301,0.000144041,0.00004972111,0.00006283123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1369189,"threshold_uncertainty_score":0.9999164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386165782761981,"score_gpt":0.2282065566404835,"score_spread":0.2143448988128637,"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."}}