{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009026928,0.0002377748,0.0002824278,0.00002445302,0.00003143009,0.00000360945,0.0001132211,0.0003324177,0.0001997013],"category_scores_gemma":[0.00004921471,0.0001982414,0.00003884114,0.00005704027,0.0003762553,0.000007138499,0.00005743356,0.0001118702,0.000002794371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007217428,"about_ca_system_score_gemma":0.00003150027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003162709,"about_ca_topic_score_gemma":0.00003441504,"domain_scores_codex":[0.9988309,0.00005890088,0.0002703829,0.0004725899,0.00007881924,0.0002884074],"domain_scores_gemma":[0.9995055,0.00003166799,0.0001125582,0.0002588568,0.000003487557,0.00008797775],"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":[0.0005769752,0.0004043011,0.1994464,0.000008643248,0.00005222025,0.00003401746,0.00008925748,0.00000501155,0.7990758,2.269376e-7,0.00002412268,0.000283019],"study_design_scores_gemma":[0.002030893,0.0007088612,0.04788719,0.00001351929,0.00002049539,0.000256314,0.0002595383,0.000008465865,0.9476676,0.00001203757,0.000938931,0.0001961697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979625,0.0009540934,0.000001717182,0.00005444827,0.00001801745,0.0002008311,0.00006269701,0.000005005074,0.0007407032],"genre_scores_gemma":[0.9972179,0.0008829864,0.00004671148,0.00006482328,0.0000301841,0.00004488609,0.0001544503,0.00001426043,0.001543779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1515592,"threshold_uncertainty_score":0.8084048,"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."}}