{"id":"W2026645643","doi":"10.1016/j.jpba.2008.10.045","title":"Development and validation of an HPLC method for the rapid and simultaneous determination of 6-mercaptopurine and four of its metabolites in plasma and red blood cells","year":2008,"lang":"en","type":"article","venue":"Journal of Pharmaceutical and Biomedical Analysis","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Hospital for Sick Children","keywords":"Chemistry; Chromatography; Mercaptopurine; Pharmacokinetics; Perchloric acid; High-performance liquid chromatography; Metabolite; Blood plasma; Quantitative analysis (chemistry); Pharmacology; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001279313,0.0001101936,0.0006169239,0.0004511966,0.00004548904,0.000007133125,0.00005456942,0.00008634065,0.00002129865],"category_scores_gemma":[0.0005645009,0.00006388209,0.00005942989,0.0004325197,0.0004035423,0.00007689323,0.00006199125,0.000143637,1.765246e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001734554,"about_ca_system_score_gemma":0.0001041968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009913794,"about_ca_topic_score_gemma":0.000002322069,"domain_scores_codex":[0.9984281,0.0001069522,0.000705612,0.0001577992,0.0004610525,0.0001404551],"domain_scores_gemma":[0.9975891,0.001548139,0.0002711882,0.00005600368,0.000262498,0.0002731136],"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":[0.001889372,0.000626582,0.00462949,0.000958897,0.001804325,0.0001430833,0.001297224,0.00001171987,0.5409348,0.00001977164,0.000007794855,0.4476769],"study_design_scores_gemma":[0.008501482,0.0009696045,0.01303364,0.0001096954,0.004731206,0.000911355,0.0002874427,0.3486888,0.6218449,0.00004837262,0.000764661,0.0001087945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934964,0.001754668,0.00379915,0.000738268,0.000011319,0.0001781907,0.0000167662,0.000001348727,0.000003891641],"genre_scores_gemma":[0.9466727,0.005150877,0.04807478,0.00003410734,0.0000377511,0.000002432591,0.000004569079,0.000005074991,0.00001766022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4475681,"threshold_uncertainty_score":0.2605036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04544112933406699,"score_gpt":0.3601352619222092,"score_spread":0.3146941325881423,"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."}}