{"id":"W1993603065","doi":"10.1016/j.jchromb.2013.12.030","title":"Simultaneous quantification of simvastatin and simvastatin hydroxy acid in blood serum at physiological pH by ultrahigh performance liquid chromatography–tandem mass spectrometry (UHPLC/MS/MS)","year":2014,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Children's Hospital Research Institute of Manitoba; Research Manitoba; University of Winnipeg","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Simvastatin; Chemistry; Chromatography; Metabolite; In vivo; Liquid chromatography–mass spectrometry; Tandem mass spectrometry; Mass spectrometry; Pharmacology; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005644675,0.000446586,0.0004550243,0.0006332865,0.0003384812,0.000376284,0.000246905,0.0006995568,0.0004960768],"category_scores_gemma":[0.0007393669,0.0002339912,0.0003906229,0.000407224,0.0004095337,0.000308493,0.0002921063,0.0005033821,0.0003065799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003479852,"about_ca_system_score_gemma":0.0008217018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001020687,"about_ca_topic_score_gemma":0.001616818,"domain_scores_codex":[0.999384,0.0001352718,0.00005671815,0.0001602234,0.000196979,0.00006680048],"domain_scores_gemma":[0.9997461,0.00006428846,0.00005157827,0.00002239239,0.00007716749,0.00003844994],"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":[0.002069268,0.00004847785,0.005074545,0.00008284275,0.0000597118,0.0000869852,0.00006073669,0.000139524,0.9820518,0.0001391431,0.0001701771,0.01001668],"study_design_scores_gemma":[0.0000682537,0.0003606995,0.009353701,0.000009757176,0.0000693048,0.0004346091,0.0000407211,0.003169808,0.9851018,0.0001682112,0.001203043,0.00002018001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.944133,0.008642613,0.04267172,0.0004522085,0.0002305395,0.0001546889,0.001497575,0.0005558402,0.001661959],"genre_scores_gemma":[0.9690546,0.002174229,0.02543453,0.0004560263,0.00007608191,0.0001792205,0.0006415889,0.00002831976,0.001955256],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001020687,"threshold_uncertainty_score":0.002985239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009304466599846,"score_gpt":0.2486864917801861,"score_spread":0.2385934471141877,"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."}}