{"id":"W2154673268","doi":"10.1007/s11356-008-0011-6","title":"Modulation of steroidogenesis by coastal waters and sewage effluents of Hong Kong, China, using the H295R assay","year":2008,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"University of Hong Kong; University Grants Committee; City University of Hong Kong","keywords":"Effluent; Bioassay; Pollutant; Environmental chemistry; Biology; Ecotoxicology; Sewage; Hormone; Wastewater; Sewage treatment; Chemistry; Endocrinology; Ecology; 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":[0.0001611287,0.0003091546,0.000280489,0.00029878,0.0002923674,0.0002574837,0.0001207445,0.0001151099,0.0006941272],"category_scores_gemma":[0.000105489,0.0001260442,0.0002182858,0.0004924642,0.000256717,0.0001119663,0.0002079291,0.000212389,0.0001420469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003659125,"about_ca_system_score_gemma":0.0006442192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03059929,"about_ca_topic_score_gemma":0.04759778,"domain_scores_codex":[0.9998902,0.00001649933,0.00001255055,0.0000254525,0.00002622244,0.00002911622],"domain_scores_gemma":[0.9999174,0.00001673613,0.00001600774,0.00000763598,0.00001927842,0.00002298838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003776864,0.00002658491,0.00690486,0.00006624374,0.00001487727,0.00007458881,0.00009443938,0.0001080606,0.990281,0.00003730994,0.00007771217,0.001936723],"study_design_scores_gemma":[0.00004771608,0.0008854345,0.2984955,0.000009916636,0.0000584197,0.0002370902,0.000497707,0.0009372709,0.6954511,0.00003741115,0.0033188,0.00002357341],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976649,0.000530804,0.0003314957,0.00003117649,0.00001503157,0.00001346381,0.0005792553,0.00001136408,0.0008224716],"genre_scores_gemma":[0.9935037,0.0007227289,0.000935709,0.00004758325,0.000009679467,0.00002144222,0.001125155,0.000004848897,0.003629124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03059929,"threshold_uncertainty_score":0.06084239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05631472396345021,"score_gpt":0.329476577241209,"score_spread":0.2731618532777588,"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."}}