{"id":"W1955853807","doi":"10.1002/bmc.2741","title":"LC‐MS/MS method for simultaneous analysis of uracil, 5,6‐dihydrouracil, 5‐fluorouracil and 5‐fluoro‐5,6‐dihydrouracil in human plasma for therapeutic drug monitoring and toxicity prediction in cancer patients","year":2012,"lang":"en","type":"article","venue":"Biomedical Chromatography","topic":"Colorectal Cancer Treatments and Studies","field":"Medicine","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child and Family Research Institute; University of British Columbia","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Chemistry; Formic acid; Chromatography; Therapeutic drug monitoring; Uracil; Ammonium acetate; Dihydropyrimidine dehydrogenase; Selected reaction monitoring; Analyte; High-performance liquid chromatography; Fluorouracil; Quantitative analysis (chemistry); Therapeutic index; Pharmacokinetics; Mass spectrometry; Tandem mass spectrometry; Drug; Pharmacology; Cancer; Biochemistry; Thymidylate synthase; Internal medicine","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":[0.001825846,0.002229646,0.001484729,0.002665864,0.001202793,0.0007159011,0.001260416,0.003196953,0.002558728],"category_scores_gemma":[0.001815606,0.0008589338,0.0009115635,0.001606374,0.0007173353,0.000753042,0.0009989423,0.001927396,0.002263627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009318331,"about_ca_system_score_gemma":0.002375249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001235875,"about_ca_topic_score_gemma":0.002198039,"domain_scores_codex":[0.9976239,0.0003916968,0.0001692469,0.0007912279,0.0008919861,0.0001320382],"domain_scores_gemma":[0.9993255,0.000183978,0.0001390057,0.0000379308,0.0002378234,0.00007585042],"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":[0.0009241803,0.00045089,0.004636387,0.001069284,0.0004322809,0.0005972228,0.000103719,0.000933086,0.93839,0.0005741095,0.003300174,0.04858859],"study_design_scores_gemma":[0.000301114,0.001924167,0.01342953,0.0002154124,0.0004836649,0.006111049,0.0001078371,0.02176446,0.9282199,0.0008023008,0.02640986,0.0002308225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3491326,0.06885611,0.5258009,0.002425402,0.002384384,0.004056983,0.01641301,0.01578403,0.01514661],"genre_scores_gemma":[0.5521683,0.02173591,0.3934368,0.005473438,0.0006355196,0.006372909,0.007711676,0.0005238511,0.01194173],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003196953,"threshold_uncertainty_score":0.009656072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208178883577461,"score_gpt":0.3303692480902947,"score_spread":0.3082874592545201,"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."}}