{"id":"W2032774922","doi":"10.1007/s00244-014-9998-5","title":"Occurrence of Endocrine-Disrupting Phenols and Estrogens in Water and Sediment of the Songhua River, Northeastern China","year":2014,"lang":"en","type":"article","venue":"Archives of Environmental Contamination and Toxicology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":91,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Nonylphenol; Alkylphenol; Environmental chemistry; Estriol; Sediment; Estrone; Bisphenol A; Chemistry; Endocrine disruptor; Ecotoxicology; Dry weight; Endocrine system; Hormone; Biology","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":[0.0001530464,0.0002600476,0.0002666861,0.001347995,0.0006821774,0.0004505846,0.0003099458,0.0002834442,0.0004106527],"category_scores_gemma":[0.0002445364,0.0002247987,0.0002519236,0.001464898,0.0004305542,0.0003309958,0.0004512287,0.0001384416,0.00005621235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006151664,"about_ca_system_score_gemma":0.0009885394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09053717,"about_ca_topic_score_gemma":0.1225014,"domain_scores_codex":[0.9998373,0.00001307475,0.00002665951,0.00005419414,0.00003943389,0.0000292317],"domain_scores_gemma":[0.9997556,0.00002949342,0.00007417826,0.000009720796,0.00007798179,0.00005320904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006065827,0.00002203217,0.9850827,0.00003519783,0.00006307625,0.0002644623,0.0007327574,0.0001471849,0.00946402,0.00004734061,0.00006318396,0.004017284],"study_design_scores_gemma":[0.0000020692,0.00001908462,0.9987838,0.000001718441,0.00001626444,0.00005582199,0.0004814766,0.000146198,0.0003305775,0.00001586005,0.0001435638,0.000003573109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999527,0.00006140255,0.00004170965,0.00001248811,0.000001534886,0.000001851835,0.0001627245,0.000002482902,0.0001887517],"genre_scores_gemma":[0.9993439,0.00006445378,0.00005707964,0.000009958156,0.00000286791,0.000002912857,0.000183939,0.000001095077,0.0003337575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09053717,"threshold_uncertainty_score":0.1800203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008044172008944146,"score_gpt":0.2325505078754493,"score_spread":0.2245063358665052,"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."}}