{"id":"W1983029062","doi":"10.1021/ac9019126","title":"Profiling Endogenous Serum Estrogen and Estrogen-Glucuronides by Liquid Chromatography−Tandem Mass Spectrometry","year":2009,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Chemistry; Chromatography; Estrogen; Tandem mass spectrometry; Endogeny; Liquid chromatography–mass spectrometry; Mass spectrometry; Biochemistry; Internal medicine","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":[0.0009261796,0.0006992235,0.0005258647,0.001065523,0.000226532,0.0004393286,0.0004708291,0.0006504537,0.0004646659],"category_scores_gemma":[0.001404729,0.000212902,0.0002495797,0.0007978825,0.0003510602,0.0002040389,0.0003269799,0.0003648157,0.0004416856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002958798,"about_ca_system_score_gemma":0.0005378844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008349144,"about_ca_topic_score_gemma":0.001330442,"domain_scores_codex":[0.9986004,0.0003846444,0.00007222562,0.0003072396,0.0005367104,0.00009868833],"domain_scores_gemma":[0.9996166,0.0001222376,0.00006895935,0.00002964027,0.0001320297,0.0000304862],"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":[0.001110694,0.0001631477,0.03292971,0.0001985637,0.0001384582,0.0001408641,0.00007182345,0.0003955289,0.9217559,0.0002700523,0.0005812512,0.04224404],"study_design_scores_gemma":[0.0001975486,0.001573986,0.1272227,0.00005053515,0.0002473603,0.002195886,0.00009216245,0.01072403,0.8486664,0.0006295386,0.00834029,0.00005957319],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8951434,0.01752149,0.07956871,0.0003825473,0.0001492605,0.0003914768,0.002844948,0.0009880794,0.003010068],"genre_scores_gemma":[0.9180329,0.007610305,0.06613272,0.001232878,0.0001542376,0.000838047,0.002221487,0.000111176,0.003666319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001065523,"threshold_uncertainty_score":0.00489819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006371112895058968,"score_gpt":0.2252175241518835,"score_spread":0.2188464112568246,"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."}}