{"id":"W2096586140","doi":"10.1039/c4ay02962c","title":"High precision and selectivity for quantitation of enrofloxacin and ciprofloxacin in five chicken tissues using solid phase extraction and ESI LC-MS/MS for application in monitoring residues","year":2015,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Antibiotics Pharmacokinetics and Efficacy","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Enrofloxacin; Chromatography; Solid phase extraction; Chemistry; Extraction (chemistry); Ciprofloxacin; Selectivity; Antibiotics; 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":[0.00167156,0.0001150905,0.0003767723,0.0002288755,0.0000353004,0.00001839727,0.00002391766,0.0001117016,5.787106e-7],"category_scores_gemma":[0.001407871,0.0001068302,0.00002421884,0.000217295,0.00006457412,0.00012247,0.00002522925,0.0001190053,6.665526e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004718118,"about_ca_system_score_gemma":0.00003422931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003254562,"about_ca_topic_score_gemma":0.00003322968,"domain_scores_codex":[0.9989561,0.0001281811,0.000346649,0.0002985569,0.0001121487,0.0001584095],"domain_scores_gemma":[0.9987,0.0008331984,0.0001100235,0.00009386535,0.0001572803,0.0001056508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003381295,0.0006426536,0.06889281,0.0006480896,0.00007607319,0.000003061429,0.001529498,0.0004959921,0.7058495,0.002197494,0.00002803597,0.2162555],"study_design_scores_gemma":[0.004720707,0.0009383642,0.06932082,0.0002494038,0.0002412974,0.000005913211,0.0003074001,0.6465892,0.2720858,0.005304902,0.00007929539,0.0001568132],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.674695,0.0003604094,0.3241917,0.0001201707,0.00003503067,0.0005766618,0.000004700554,0.000006170867,0.00001014029],"genre_scores_gemma":[0.7386597,0.000151149,0.2610567,0.000005510797,0.00008344019,0.00001152638,0.000007526063,0.00001150067,0.00001292343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6460932,"threshold_uncertainty_score":0.4356409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1274696234814499,"score_gpt":0.542750131643215,"score_spread":0.4152805081617651,"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."}}