{"id":"W2928163647","doi":"10.1002/dta.2598","title":"Evaluation of sulfate metabolites as markers of intramuscular testosterone administration in Caucasian and Asian populations","year":2019,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agència de Gestió d'Ajuts Universitaris i de Recerca; Ministerio de Economía y Competitividad; Generalitat de Catalunya; World Anti-Doping Agency","keywords":"Etiocholanolone; Epitestosterone; Chemistry; Androsterone; Urine; Volunteer; Chromatography; Testosterone (patch); Sulfate; Internal medicine; Endocrinology; Medicine; Androgen; Biology; Steroid","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":[0.000966839,0.00007093856,0.0003230342,0.0002560917,0.00002819813,0.00000487442,0.00001448,0.00002109645,0.000007672557],"category_scores_gemma":[0.001073449,0.00005587079,0.00004525339,0.0006866927,0.00006206271,0.00004391593,0.0000149269,0.00004845522,3.283071e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001179851,"about_ca_system_score_gemma":0.00004547263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005345917,"about_ca_topic_score_gemma":0.0001985656,"domain_scores_codex":[0.9991437,0.00009094435,0.0002482978,0.0001865226,0.0002600728,0.00007050332],"domain_scores_gemma":[0.9993539,0.00006582392,0.0001201344,0.0001149316,0.0003129325,0.0000322305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002273421,0.00005570739,0.968542,0.00006638117,0.0003889533,9.039117e-7,0.0005915868,0.0001064321,0.008669635,0.00005091905,5.33181e-7,0.02150418],"study_design_scores_gemma":[0.000384541,0.0001050449,0.9858337,0.00006281973,0.002877474,0.000004182406,0.001990988,0.007097795,0.00123882,0.0003512297,0.000002038701,0.00005133425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966626,0.00125541,0.00000597599,0.0004215306,0.000009619501,0.0001636658,0.000004090682,0.000005739658,0.001471367],"genre_scores_gemma":[0.9987257,0.00002201902,0.001152301,0.000003973729,0.00001345476,0.000004601553,0.00002117613,0.000003598746,0.00005314203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02145285,"threshold_uncertainty_score":0.2278345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04115237616219358,"score_gpt":0.3196754131522849,"score_spread":0.2785230369900913,"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."}}