{"id":"W2489546756","doi":"10.1016/j.jchromb.2016.07.032","title":"Quantification of cefazolin in serum and adipose tissue by ultra high performance liquid chromatography-Tandem mass spectrometry (UHPLC–MS/MS): application to a pilot study of obese women undergoing cesarean delivery","year":2016,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Antibiotics Pharmacokinetics and Efficacy","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cefazolin; Chemistry; Chromatography; Adipose tissue; Tandem mass spectrometry; Pharmacokinetics; Detection limit; Liquid chromatography–mass spectrometry; Mass spectrometry; High-performance liquid chromatography; Antibiotics; Pharmacology; Medicine; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006934467,0.0002478233,0.0007190249,0.001367373,0.00005297101,0.00001775944,0.0002370834,0.0000771851,0.0000307287],"category_scores_gemma":[0.00004146336,0.000190307,0.00009007083,0.001359346,0.0001246149,0.0002022546,0.00003327496,0.0002026134,0.000001943962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007432049,"about_ca_system_score_gemma":0.00008569065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006531164,"about_ca_topic_score_gemma":0.00002246416,"domain_scores_codex":[0.9975549,0.00008270005,0.001150135,0.0002947134,0.0005718835,0.0003456449],"domain_scores_gemma":[0.9980462,0.0001589592,0.0008715724,0.0003398264,0.0003045442,0.00027888],"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":[0.001119845,0.001863845,0.2019705,0.0003303726,0.0002610931,0.00001048406,0.0005558993,0.00002414152,0.7927014,0.00003212686,0.0001010807,0.001029177],"study_design_scores_gemma":[0.005750853,0.01603044,0.6196663,0.0009933504,0.0001874167,0.00007150756,0.0006307023,0.0000574234,0.3562708,0.00004965556,0.00007254051,0.0002189487],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961404,0.0008122241,0.001993162,0.0002248896,0.00007845434,0.0006339371,0.0000218525,0.00001719287,0.00007784679],"genre_scores_gemma":[0.9960331,0.003002346,0.0007953685,0.00003627619,0.00007877494,0.000007093563,0.000003620859,0.00003669173,0.000006727166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4364306,"threshold_uncertainty_score":0.7760494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103414283881773,"score_gpt":0.2601185876334898,"score_spread":0.2490844447946721,"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."}}