{"id":"W427818402","doi":"10.1016/j.jsbmb.2015.05.011","title":"Metabolic study of androsta-1,4,6-triene-3,17-dione in horses using liquid chromatography/high resolution mass spectrometry","year":2015,"lang":"en","type":"article","venue":"The Journal of Steroid Biochemistry and Molecular Biology","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Metabolism; Chemistry; Biotransformation; Estrone; Gas chromatography–mass spectrometry; Mass spectrometry; Hydroxylation; In vivo; Chromatography; In vitro; Biochemistry; Enzyme; Biology; Hormone","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":[0.0001234985,0.0003493766,0.0002472105,0.0009209824,0.000493322,0.0003972014,0.0001620773,0.0003963326,0.000991522],"category_scores_gemma":[0.0002037074,0.0002170693,0.0002334101,0.0005103608,0.0003128317,0.000243186,0.0001194414,0.0004009414,0.0002597455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003151354,"about_ca_system_score_gemma":0.0003678819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005171262,"about_ca_topic_score_gemma":0.006998001,"domain_scores_codex":[0.9998868,0.0000191151,0.000006192421,0.00003770347,0.00002884874,0.00002135494],"domain_scores_gemma":[0.9998986,0.0000119345,0.00002739596,0.00000461546,0.00003042012,0.00002702424],"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":[0.00226471,0.0001143681,0.06264988,0.0001258879,0.0001473785,0.0006972391,0.0002878637,0.0002560906,0.9215854,0.0001526362,0.0001288465,0.01158978],"study_design_scores_gemma":[0.00005844776,0.001798345,0.4779298,0.0000518138,0.0003066713,0.002841615,0.0007525865,0.003133,0.5080035,0.0001866454,0.004882988,0.00005466759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955035,0.002100891,0.0009878312,0.00007086358,0.00001770424,0.00003061578,0.0005486577,0.00001956967,0.0007205132],"genre_scores_gemma":[0.9943751,0.001071139,0.001400173,0.00008853571,0.00002205687,0.00003159838,0.0005243985,0.00001621768,0.002470835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005171262,"threshold_uncertainty_score":0.01028234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02113300053952802,"score_gpt":0.2907109708982007,"score_spread":0.2695779703586727,"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."}}