{"id":"W1982099654","doi":"10.1002/etc.5620200210","title":"Estrogenic potency of chemicals detected in sewage treatment plant effluents as determined by in vivo assays with Japanese medaka (<i>Oryzias latipes</i>)","year":2001,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Reproductive biology and impacts on aquatic species","field":"Biochemistry, Genetics and Molecular Biology","cited_by":552,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Oryzias; Nonylphenol; Alkylphenol; Vitellogenin; Estrone; Endocrine disruptor; Bioassay; Estrogen; Phthalate; Estriol; Biology; Ethinylestradiol; Effluent; Environmental chemistry; Methyltestosterone; Triclosan; Hormone; Methoxychlor; In vivo; Chemistry; Endocrinology; Fish <Actinopterygii>; Endocrine system; Pesticide; Ecology; Biotechnology; 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":[0.0001454992,0.0005052463,0.0001667868,0.000316004,0.000168627,0.000189156,0.0001346018,0.0002593043,0.001279587],"category_scores_gemma":[0.000152817,0.0002234669,0.0002329541,0.0001954495,0.0002709869,0.0001197125,0.0001767901,0.0003103329,0.0001941087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002732609,"about_ca_system_score_gemma":0.0001928519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001841806,"about_ca_topic_score_gemma":0.003982454,"domain_scores_codex":[0.9998736,0.00002560024,0.00001388162,0.00003658883,0.00002682731,0.00002353473],"domain_scores_gemma":[0.9997954,0.00004921649,0.00006208639,0.00001489318,0.00003860712,0.00003978656],"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":[0.0001117647,0.00002289737,0.00155682,0.00002830848,0.000007448967,0.00002106886,0.00002728992,0.00004252281,0.997572,0.00001099805,0.00001057015,0.0005881856],"study_design_scores_gemma":[0.00001134461,0.002053018,0.02496785,0.000005621425,0.000039365,0.00009697157,0.00007580425,0.0001644357,0.9720111,0.0000127467,0.0005560876,0.000005471033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981459,0.0003009164,0.000532849,0.00002540912,0.000008000293,0.00002869992,0.0002356145,0.00002067126,0.0007020492],"genre_scores_gemma":[0.9923913,0.0008712091,0.001503601,0.00005991403,0.000008562401,0.00006409956,0.0007089832,0.00001128098,0.00438103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001841806,"threshold_uncertainty_score":0.004280686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004398419331757,"score_gpt":0.2062913928806744,"score_spread":0.2018929735489174,"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."}}