{"id":"W4416416572","doi":"10.1016/j.steroids.2025.109720","title":"In vitro metabolic profiling of 6-chloro-testosterone and 6-ene-testosterone by liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-time of flight (GC-TOF) mass spectrometry","year":2025,"lang":"en","type":"article","venue":"Steroids","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Hydroxylation; Mass spectrometry; Metabolism; Chlorine; Double bond; Metabolic pathway; Microsome; Incubation; In vitro","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":[0.0003662827,0.0006703867,0.0004148493,0.0006132033,0.0005111368,0.0005525635,0.0003192194,0.0003772576,0.001015466],"category_scores_gemma":[0.00029377,0.0002448733,0.000472884,0.0006500299,0.0003318979,0.0002673829,0.0002020585,0.0004990784,0.0006808599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004700955,"about_ca_system_score_gemma":0.0007305779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004359987,"about_ca_topic_score_gemma":0.008670661,"domain_scores_codex":[0.9995616,0.00008101237,0.00003794501,0.00008085822,0.0001603268,0.00007823799],"domain_scores_gemma":[0.9997454,0.00004985935,0.00003619104,0.00002817013,0.00009139561,0.00004893837],"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":[0.0003314597,0.00004332895,0.0005593673,0.00003000104,0.00002191769,0.00006177007,0.00002076501,0.0002028488,0.9973319,0.00006225086,0.00003883249,0.001295723],"study_design_scores_gemma":[0.00001533357,0.0002734239,0.003538006,0.000002849095,0.00002585867,0.0001061552,0.00002781563,0.0008375369,0.9937215,0.00003589857,0.001406323,0.000009446606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413846,0.01001159,0.03554066,0.0002234165,0.0002257859,0.0002057585,0.006879415,0.0005137491,0.005015118],"genre_scores_gemma":[0.9551542,0.004151727,0.02274974,0.0002412686,0.00007682428,0.0002073035,0.00749458,0.00009289924,0.009831421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004359987,"threshold_uncertainty_score":0.008669198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815043478996891,"score_gpt":0.3230503626970034,"score_spread":0.3048999279070345,"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."}}