{"id":"W2233372425","doi":"10.1002/dta.1933","title":"Analysis of tolvaptan and its metabolites in sports drug testing by high‐performance liquid chromatography coupled to tandem mass spectrometry","year":2016,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Electrolyte and hormonal disorders","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Otsuka Pharmaceutical; World Anti-Doping Agency","keywords":"Chromatography; Chemistry; Tolvaptan; Metabolite; Urine; Tandem mass spectrometry; High-performance liquid chromatography; Liquid chromatography–mass spectrometry; Mass spectrometry; Pharmacology; Medicine; 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":[0.0006596665,0.000267719,0.00112827,0.002310462,0.0001042902,0.00002484233,0.00009989603,0.00005895888,0.00003505619],"category_scores_gemma":[0.0006237226,0.0001977815,0.000189909,0.01028405,0.00006681548,0.0001294148,0.00004441497,0.0001318759,0.00000112702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000289989,"about_ca_system_score_gemma":0.00004005124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004991957,"about_ca_topic_score_gemma":0.00009829248,"domain_scores_codex":[0.9979799,0.00004310776,0.0006031408,0.000532721,0.0004056997,0.0004354076],"domain_scores_gemma":[0.9984637,0.0006049509,0.0002462147,0.0002479702,0.0002051929,0.0002319685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000488951,0.00006420998,0.7404149,0.00004258445,0.001485273,0.000009379961,0.00009778728,0.00007347245,0.2553074,0.00001168121,0.00001588565,0.002428584],"study_design_scores_gemma":[0.0007369864,0.0001582048,0.9483796,0.0001790852,0.008753465,0.000004185264,0.0001244335,0.02805084,0.01327546,0.00003956138,0.000009316006,0.0002888876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955648,0.003259004,0.0001589694,0.0004210531,0.000005796102,0.0001377949,0.00002692311,0.00006510044,0.0003605238],"genre_scores_gemma":[0.9968387,0.0005794686,0.002208814,0.0001274836,0.00002551661,0.00001225666,0.00002925153,0.00002000914,0.0001585149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2420319,"threshold_uncertainty_score":0.8065294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008332727609276466,"score_gpt":0.2316150470749259,"score_spread":0.2232823194656494,"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."}}