{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001912454,0.0002960214,0.0001818334,0.0002748278,0.0001721835,0.0002523775,0.0001735298,0.0003070927,0.0006221961],"category_scores_gemma":[0.0002284916,0.0001401421,0.0001949711,0.0003064639,0.0001642675,0.0002192559,0.0001353164,0.0002149748,0.0002474852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002456255,"about_ca_system_score_gemma":0.0003403357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008868572,"about_ca_topic_score_gemma":0.001862064,"domain_scores_codex":[0.9998517,0.00002131663,0.00001046558,0.00005197604,0.00004716708,0.00001724236],"domain_scores_gemma":[0.9999207,0.00001319258,0.0000209521,0.000008238951,0.00002945345,0.000007466121],"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":[0.0001468219,0.00001616978,0.0009308936,0.00003757859,0.00001509504,0.00007046032,0.00001841843,0.0001798223,0.9949168,0.00008442024,0.00004263279,0.003540892],"study_design_scores_gemma":[0.00001138749,0.0002670849,0.008051553,0.000005604807,0.00003753959,0.0003477231,0.00002971212,0.002242043,0.9863353,0.0001130323,0.002543725,0.00001529079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719663,0.004771074,0.0202413,0.00008365011,0.00004079526,0.00006240392,0.0008588425,0.0001338307,0.001841691],"genre_scores_gemma":[0.968022,0.004013298,0.02250972,0.0001582574,0.0000242806,0.0001042549,0.001103403,0.00004778884,0.004017031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008868572,"threshold_uncertainty_score":0.002081394,"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."}}