{"id":"W4206105672","doi":"10.1016/j.jchromb.2022.123112","title":"Analysis of cycloheximide in rat specimens using liquid chromatography with tandem mass spectrometry detection","year":2022,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Antibiotics Pharmacokinetics and Efficacy","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Chemistry; Chromatography; Mass spectrometry; Tandem mass spectrometry; Electrospray ionization; Extraction (chemistry); Selected reaction monitoring; Quantitative analysis (chemistry)","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":[0.0003635552,0.0009043507,0.0004309967,0.001003742,0.000568237,0.0003838351,0.0003995451,0.0005264799,0.001746976],"category_scores_gemma":[0.0004621307,0.0003115703,0.0003229352,0.0007225123,0.0006796787,0.0003642326,0.0002379012,0.0007550782,0.0005016096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006809706,"about_ca_system_score_gemma":0.001793534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003978264,"about_ca_topic_score_gemma":0.007938644,"domain_scores_codex":[0.9996201,0.00003900452,0.00002246931,0.0001001137,0.0001623944,0.00005579445],"domain_scores_gemma":[0.9995908,0.000068913,0.00008986398,0.00005626543,0.0001186369,0.00007544126],"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":[0.0006416973,0.00007078017,0.002272025,0.00007735726,0.00002803373,0.0000904593,0.00002929863,0.00009370867,0.9883584,0.000146487,0.0001195193,0.00807226],"study_design_scores_gemma":[0.00001537304,0.0002968957,0.007606989,0.00001032202,0.00004589669,0.0001827849,0.00002772184,0.0007654859,0.9892814,0.00005465112,0.001702014,0.00001048086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9040596,0.01236866,0.06998356,0.0004289816,0.0004846395,0.0005178263,0.002336318,0.001475219,0.00834529],"genre_scores_gemma":[0.9075745,0.01031247,0.06259758,0.0005751834,0.0001794997,0.0008700483,0.002349329,0.0001964714,0.01534487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003978264,"threshold_uncertainty_score":0.007910192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286921673259549,"score_gpt":0.2694162468721767,"score_spread":0.2565470301395812,"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."}}