{"id":"W2017289498","doi":"10.1093/jat/bku143","title":"Simultaneous Determination of 11  -Agonists in Human Urine Using High-Performance Liquid Chromatography/Tandem Mass Spectrometry with Isotope Dilution","year":2014,"lang":"en","type":"article","venue":"Journal of Analytical Toxicology","topic":"Pharmacological Effects and Assays","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shandong Academy of Sciences; Natural Science Foundation of Shandong Province; World Anti-Doping Agency","keywords":"Isotope dilution; Chromatography; Chemistry; Urine; Mass spectrometry; Tandem mass spectrometry; Liquid chromatography–mass spectrometry; Dilution; High-performance liquid chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00153613,0.0007890419,0.0007822415,0.0009675117,0.000690578,0.0006857962,0.0007430532,0.001350438,0.0007380322],"category_scores_gemma":[0.001796732,0.0004260617,0.0006886153,0.0006954813,0.0006640346,0.000538863,0.0006950943,0.0007715744,0.0007432781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003785814,"about_ca_system_score_gemma":0.00122378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008030338,"about_ca_topic_score_gemma":0.002607814,"domain_scores_codex":[0.995812,0.001379341,0.0002401648,0.0007267947,0.001683491,0.0001580961],"domain_scores_gemma":[0.9992127,0.000249921,0.0001456388,0.00008723369,0.0002504697,0.00005395295],"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":[0.0008707909,0.0002503416,0.009395334,0.0004344719,0.0002387358,0.0002465319,0.0001013376,0.0003665885,0.932055,0.0002219355,0.0003997288,0.05541915],"study_design_scores_gemma":[0.00009027987,0.001449547,0.01630357,0.00007116876,0.0002770371,0.002513709,0.00009095064,0.004479786,0.9666609,0.0002828672,0.007673159,0.000107076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5813059,0.04842638,0.3561134,0.001055658,0.0009254354,0.001290821,0.002337253,0.002054157,0.006490986],"genre_scores_gemma":[0.7452695,0.01377261,0.2304273,0.002237523,0.0002796118,0.001105052,0.001066961,0.0001118426,0.005729502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00153613,"threshold_uncertainty_score":0.008123934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466726430870734,"score_gpt":0.2681636459178068,"score_spread":0.2534963816090995,"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."}}