{"id":"W4308103403","doi":"10.1016/j.jchromb.2022.123518","title":"Quantitation of cystic fibrosis triple combination therapy, elexacaftor/tezacaftor/ivacaftor, in human plasma and cellular lysate","year":2022,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Center for Clinical and Translational Science, University of Alabama at Birmingham; National Institutes of Health; Choquette Family Foundation; Cystic Fibrosis Foundation","keywords":"Chemistry; Chromatography; Formic acid; Protein precipitation; Analyte; Selected reaction monitoring; Tandem mass spectrometry; Liquid chromatography–mass spectrometry; Ivacaftor; Mass spectrometry; Biochemistry; Cystic fibrosis transmembrane conductance regulator","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":[0.0009606504,0.000161126,0.0005500361,0.001306346,0.0001361614,0.00002540591,0.0001788515,0.00005530483,0.0001389949],"category_scores_gemma":[0.0001540145,0.0001476189,0.0002232784,0.0009196053,0.0001533256,0.000260447,0.00006114323,0.0004126231,5.639514e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001097494,"about_ca_system_score_gemma":0.0001180681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005198447,"about_ca_topic_score_gemma":0.000001063182,"domain_scores_codex":[0.9974502,0.0002677026,0.0008570325,0.0001766893,0.001002412,0.0002460113],"domain_scores_gemma":[0.9985405,0.000246259,0.0006513876,0.0001858603,0.0002354402,0.000140619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001518256,0.0007741603,0.1147092,0.0003088049,0.0001542478,0.00008350126,0.0001432755,0.00006360994,0.8792723,0.0006893649,0.0005581997,0.001725029],"study_design_scores_gemma":[0.0219657,0.01445052,0.7928119,0.0006944584,0.0001947653,0.0005308386,0.0019282,0.001399039,0.1541309,0.004153648,0.007309153,0.0004308784],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958038,0.00343741,0.00013196,0.0000818756,0.00004314342,0.0003591519,0.00001628327,0.00001294623,0.0001134848],"genre_scores_gemma":[0.9975427,0.0002895812,0.002002057,0.00002356819,0.00004608476,0.00001795363,0.00001886072,0.00002621263,0.00003298879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7251415,"threshold_uncertainty_score":0.6019724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558847886735122,"score_gpt":0.2918502802108601,"score_spread":0.2762618013435089,"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."}}