{"id":"W3034273622","doi":"10.1002/elps.202000118","title":"Quantification of imatinib and related compounds using capillary electrophoresis‐tandem mass spectrometry with field‐amplified sample stacking","year":2020,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chromatography; Repeatability; Capillary electrophoresis; Analyte; Chemistry; Reproducibility; Sample preparation; Mass spectrometry; Electrospray; Capillary electrophoresis–mass spectrometry; Analytical Chemistry (journal); Detection limit; Tandem mass spectrometry; Liquid chromatography–mass spectrometry; Stacking; Electrospray ionization","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":[0.0001504448,0.0003248389,0.0006848701,0.0002081678,0.0001482506,0.00003521975,0.000127943,0.0001723362,0.000199207],"category_scores_gemma":[0.0002799267,0.0002816452,0.0001047111,0.0009905254,0.000103725,0.00008639148,0.00003680236,0.0003921924,0.000005414435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005348947,"about_ca_system_score_gemma":0.000445657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003386681,"about_ca_topic_score_gemma":0.00001489106,"domain_scores_codex":[0.9977799,0.00009376292,0.0005455922,0.0005812441,0.0004800673,0.0005194301],"domain_scores_gemma":[0.9985547,0.0003393227,0.0003170863,0.0004122289,0.0001466645,0.000229979],"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":[0.001474038,0.00008990607,0.02337167,0.0002010684,0.0005567896,0.00007888205,0.0003535906,0.0000241844,0.972553,0.0004053554,0.0003682442,0.0005232864],"study_design_scores_gemma":[0.006129966,0.004239148,0.03264724,0.0002535135,0.0009579794,0.0003447754,0.0002782859,0.007224888,0.9463685,0.0006592742,0.0003352613,0.0005611238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858126,0.003294175,0.008652755,0.0009472097,0.00002975125,0.0005761876,0.00001393903,0.0001064274,0.0005669539],"genre_scores_gemma":[0.9789684,0.0009859733,0.01953799,0.0002197762,0.00007677556,0.00001165189,0.00009428189,0.00006979262,0.00003535109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02618444,"threshold_uncertainty_score":0.9999636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351846394319861,"score_gpt":0.2638375292199479,"score_spread":0.2403190652767492,"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."}}