{"id":"W2052899945","doi":"10.1897/07-136r.1","title":"Ultra-trace analysis of multiple endocrine-disrupting chemicals in municipal and bleached kraft mill effluents using gas chromatography–high-resolution mass spectrometry","year":2008,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Fisheries and Oceans Canada","funders":"","keywords":"Chemistry; Wastewater; Effluent; Chromatography; Derivatization; Coprostanol; Environmental chemistry; Gas chromatography; Gas chromatography–mass spectrometry; BSTFA; Mass spectrometry; Analyte; Matrix (chemical analysis); Estrone; Sterol; Environmental science; Environmental engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003456484,0.0004998361,0.0004282634,0.0009707725,0.0003702145,0.000482555,0.0003469455,0.0006396857,0.000262506],"category_scores_gemma":[0.0003493002,0.0002315632,0.0002938291,0.0007924375,0.0003400545,0.0003057871,0.0004646134,0.0003721669,0.0001536956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007257042,"about_ca_system_score_gemma":0.0006624648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006253372,"about_ca_topic_score_gemma":0.0116975,"domain_scores_codex":[0.9993994,0.00006075321,0.00003746489,0.0001408827,0.0003068082,0.0000547232],"domain_scores_gemma":[0.9998028,0.00003619194,0.00004411447,0.00001503657,0.00008649757,0.00001542601],"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":[0.00008125207,0.00004062722,0.004604675,0.00006780919,0.00001856015,0.00005461877,0.00004236634,0.0003281784,0.9853872,0.00003770491,0.00004530582,0.00929172],"study_design_scores_gemma":[0.0000157553,0.0002336363,0.02327927,0.00001813357,0.00004087772,0.0002578948,0.0001576543,0.004474396,0.9696103,0.0001091794,0.001778536,0.0000243817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850729,0.00140693,0.01178684,0.00008374751,0.00001134531,0.00004992653,0.0006069832,0.0002035518,0.0007777937],"genre_scores_gemma":[0.9752648,0.001536573,0.01974303,0.0002037305,0.000009521817,0.00006928271,0.0007228638,0.00003074545,0.002419424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006253372,"threshold_uncertainty_score":0.01243395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642986742527959,"score_gpt":0.26197979202289,"score_spread":0.2455499245976104,"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."}}