{"id":"W2982488416","doi":"10.1002/dta.2714","title":"Analysis of tretoquinol and its metabolites in human urine by liquid chromatography–tandem mass spectrometry","year":2019,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Urine; Chromatography; Chemistry; Glucuronide; Metabolite; Analyte; Detection limit; Liquid chromatography–mass spectrometry; Tandem mass spectrometry; Mass spectrometry; 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":[0.0003850411,0.0001778532,0.001139731,0.001605139,0.00007112067,0.00001214098,0.00005084847,0.00003972439,0.0000391916],"category_scores_gemma":[0.0001998088,0.0001330842,0.0002499754,0.006019908,0.00008996824,0.00005040126,0.00005102855,0.0001263541,8.060003e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001191588,"about_ca_system_score_gemma":0.000009214607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002776347,"about_ca_topic_score_gemma":0.00003091231,"domain_scores_codex":[0.9986637,0.00005084277,0.0003732125,0.0004758708,0.0002236979,0.0002126566],"domain_scores_gemma":[0.9992529,0.0001695194,0.0001545291,0.0002084046,0.0001303086,0.00008441223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001728,0.00007954123,0.8079616,0.00006299421,0.006266055,0.00000482626,0.0002383803,0.00002424461,0.1851343,0.00002984257,0.000005212377,0.0001756855],"study_design_scores_gemma":[0.0005175176,0.0001826681,0.9656097,0.00004633596,0.01354952,0.000002178601,0.0006584127,0.002817698,0.0163822,0.00004255854,0.00001748452,0.0001737584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856552,0.01292896,0.00001041413,0.0001659364,0.000007003746,0.0001022267,0.00002354454,0.00003007264,0.001076624],"genre_scores_gemma":[0.9986804,0.0004183426,0.0003654301,0.00001847592,0.00003083323,0.000004528624,0.00003759739,0.000008926907,0.0004354727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1687521,"threshold_uncertainty_score":0.5427017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328982279416367,"score_gpt":0.262405637498858,"score_spread":0.2491158147046943,"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."}}