{"id":"W4303856660","doi":"10.3390/metabo12100931","title":"Estradiol, Estrone and Ethinyl Estradiol Metabolism Studied by High Resolution LC-MS/MS Using Stable Isotope Labeling and Trapping of Reactive Metabolites","year":2022,"lang":"en","type":"article","venue":"Metabolites","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Courtois Foundation; Université du Québec à Montréal","keywords":"Chemistry; Estrone; Glutathione; Metabolite; Reactive intermediate; Xenobiotic; Adduct; Metabolism; Drug metabolism; Metabolomics; Microsome; Biotransformation; Hydroxylation; Carcinogen; Chromatography; Biochemistry; Hormone; In vitro; Enzyme; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002999479,0.0006916162,0.001474787,0.0004543206,0.001198268,0.00007874068,0.0004577348,0.0002885128,0.0004618762],"category_scores_gemma":[0.0002243398,0.0007138422,0.0001910662,0.0008247723,0.0005962557,0.0004518346,0.0004969036,0.001618242,0.000002621088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007571513,"about_ca_system_score_gemma":0.0001945434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007979322,"about_ca_topic_score_gemma":0.000007048926,"domain_scores_codex":[0.994377,0.001792321,0.001129401,0.001011915,0.0005990791,0.001090249],"domain_scores_gemma":[0.9974295,0.0007638452,0.0006887221,0.0004080662,0.0002268217,0.0004829714],"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":[0.0004272974,0.0005035394,0.003791133,0.0001172937,0.001195465,0.00001657053,0.002598765,0.002451774,0.973341,0.00728473,0.0004872522,0.007785114],"study_design_scores_gemma":[0.006801568,0.0001742425,0.009052187,0.000030631,0.004013689,0.0001415153,0.001651908,0.01413519,0.6688184,0.0037305,0.2901632,0.001287041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8107777,0.1849447,0.0002687056,0.0003594805,0.001080713,0.0007933573,0.001268191,0.00009175664,0.0004154531],"genre_scores_gemma":[0.9822689,0.01050469,0.005523323,0.0006189792,0.0004233257,0.0001827026,0.0001248845,0.00009744916,0.0002557487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3045227,"threshold_uncertainty_score":0.9995313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08667192492435266,"score_gpt":0.3738234680480534,"score_spread":0.2871515431237007,"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."}}