{"id":"W2856837924","doi":"10.1016/j.foodchem.2018.07.045","title":"Quantitative analysis of chloramphenicol, thiamphenicol, florfenicol and florfenicol amine in eggs via liquid chromatography-electrospray ionization tandem mass spectrometry","year":2018,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Antibiotics Pharmacokinetics and Efficacy","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; Yangzhou University; China Agricultural Research System; National Natural Science Foundation of China; National Science Foundation","keywords":"Thiamphenicol; Florfenicol; Chromatography; Chemistry; Electrospray ionization; Mass spectrometry; Electrospray; Ethyl acetate; Tandem mass spectrometry; Chloramphenicol; Liquid chromatography–mass spectrometry","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":[0.0002501259,0.000367619,0.0001918419,0.000381156,0.0002793299,0.0002593345,0.0001701564,0.0004016669,0.0009703047],"category_scores_gemma":[0.0006713145,0.0001843242,0.0001487885,0.0002217411,0.0003198701,0.0002385961,0.0001570915,0.0003743898,0.0002623413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002943122,"about_ca_system_score_gemma":0.0005072035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002411956,"about_ca_topic_score_gemma":0.00509923,"domain_scores_codex":[0.9997489,0.00003471004,0.00001366887,0.00006221995,0.0001165272,0.00002394799],"domain_scores_gemma":[0.9996554,0.0001060894,0.00007016482,0.00002112575,0.000114936,0.00003231137],"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":[0.0001341997,0.00001018695,0.001580177,0.00003082975,0.00001214577,0.00004408685,0.00002828911,0.00008406955,0.9941988,0.00005616691,0.00003144738,0.00378974],"study_design_scores_gemma":[0.00001372758,0.0003101266,0.01871237,0.00001103402,0.00002399247,0.000267959,0.00005049234,0.001955102,0.9769155,0.00004897079,0.001678939,0.00001180721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713445,0.00260487,0.02127862,0.0001017517,0.00004253416,0.0001097407,0.001089574,0.0001997322,0.003228674],"genre_scores_gemma":[0.9682307,0.001519464,0.02396625,0.0001364927,0.00001960682,0.0001683233,0.000861895,0.00004666953,0.00505065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002411956,"threshold_uncertainty_score":0.004795849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241492410108765,"score_gpt":0.289230543538317,"score_spread":0.2768156194372294,"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."}}