{"id":"W4399071885","doi":"10.1016/j.microc.2024.110869","title":"A multi-technique based analytical platform for characterization and identification of a newly emerged steroid 6β-chlorotestosterone and its in-vivo epimeric metabolites","year":2024,"lang":"en","type":"article","venue":"Microchemical Journal","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Metabolite; Chemistry; Chromatography; In vivo; Tandem mass spectrometry; Mass spectrometry; High-performance liquid chromatography; Liquid chromatography–mass spectrometry; Biochemistry; Biology","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":[0.0005349177,0.001148573,0.0004627966,0.0008601004,0.0005023755,0.0005057452,0.0006089238,0.001016257,0.001581785],"category_scores_gemma":[0.0004947968,0.0004097106,0.0006144658,0.0004908141,0.000482928,0.0006424396,0.0008811989,0.001456937,0.0009032997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003057101,"about_ca_system_score_gemma":0.0008607613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006880151,"about_ca_topic_score_gemma":0.002167652,"domain_scores_codex":[0.9994546,0.00007813694,0.0000191565,0.0001747142,0.0002084654,0.00006490895],"domain_scores_gemma":[0.9996382,0.00006317162,0.00007438732,0.00005269953,0.00009878223,0.00007272438],"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":[0.00004515854,0.00001155822,0.0001387311,0.00002316224,0.00001179835,0.00004125491,0.00001053129,0.00003423063,0.9976147,0.00006152347,0.00003184942,0.001975412],"study_design_scores_gemma":[0.00001044178,0.0002749277,0.001914248,0.000008098571,0.00004439278,0.0007192815,0.00003989999,0.001305979,0.9919859,0.0001283052,0.003547083,0.00002155278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6063356,0.008670091,0.3736697,0.0004896738,0.0003846672,0.0005260185,0.002761647,0.001277352,0.005885218],"genre_scores_gemma":[0.6847714,0.003864254,0.2970703,0.0006756613,0.0001272605,0.000400651,0.002529521,0.0001965165,0.0103645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001581785,"threshold_uncertainty_score":0.005291581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02630477150652811,"score_gpt":0.2988968762185955,"score_spread":0.2725921047120674,"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."}}