{"id":"W2001241481","doi":"10.1016/j.chroma.2005.05.065","title":"Extraction of testosterone and epitestosterone in human urine using aqueous two-phase systems of ionic liquid and salt","year":2005,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Chemical and Physical Properties in Aqueous Solutions","field":"Chemical Engineering","cited_by":274,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"World Anti-Doping Agency; National Natural Science Foundation of China","keywords":"Chemistry; Chromatography; Extraction (chemistry); Epitestosterone; Ionic liquid; High-performance liquid chromatography; Aqueous solution; Urine; Solid phase extraction; Analyte; Detection limit; Hydrolysis; Aqueous two-phase system; Solvent; Sample preparation; Organic chemistry; Androgen; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001628782,0.000139369,0.0004538512,0.0002299596,0.00004001179,0.00001248988,0.00009109778,0.00007538766,0.00001052065],"category_scores_gemma":[0.00004384659,0.000119587,0.00009964445,0.0002381162,0.000204624,0.0002025214,0.00004761187,0.0002769036,1.626087e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000438378,"about_ca_system_score_gemma":0.00001956986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001117655,"about_ca_topic_score_gemma":0.000006300783,"domain_scores_codex":[0.9986965,0.00003360282,0.0007972334,0.0001135932,0.0001906418,0.0001684007],"domain_scores_gemma":[0.9991324,0.0001159862,0.0004266446,0.0001218034,0.00009296343,0.000110197],"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":[0.0001402777,0.0004315646,0.0003628531,0.0003010342,0.00005404706,0.000007144633,0.0002005513,0.002534541,0.9953012,0.0001679764,0.000008042521,0.0004907905],"study_design_scores_gemma":[0.006812356,0.001945782,0.0006617737,0.002567516,0.0002189454,0.001576479,0.0001338921,0.04248618,0.9425353,0.0003483678,0.0002918801,0.0004215714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934093,0.005728911,0.0005769084,0.00004501275,0.00004452826,0.00009006811,0.000007357494,0.00001079008,0.00008707386],"genre_scores_gemma":[0.9989485,0.0001050512,0.0007730865,0.000007625574,0.0001421987,0.000001660141,0.000001241243,0.00001605444,0.000004598916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05276592,"threshold_uncertainty_score":0.4876618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837004744191087,"score_gpt":0.2883109555998236,"score_spread":0.2699409081579127,"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."}}