{"id":"W2166847202","doi":"10.1016/j.ecoenv.2009.04.019","title":"Bioaccumulation of the synthetic hormone 17α-ethinylestradiol in the benthic invertebrates Chironomus tentans and Hyalella azteca","year":2009,"lang":"en","type":"article","venue":"Ecotoxicology and Environmental Safety","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Hyalella azteca; Bioaccumulation; Environmental chemistry; Bioconcentration; Ecotoxicology; Chironomus; Biology; Ethinylestradiol; Xenoestrogen; Benthic zone; Chemistry; Crustacean; Estrogen receptor; Ecology; Amphipoda; Population; Medicine; Chironomidae","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007812489,0.0001790983,0.0001632687,0.0004050777,0.0003293552,0.0003577229,0.000133442,0.0003146584,0.0009931083],"category_scores_gemma":[0.0001483239,0.0001495268,0.0001239559,0.000235385,0.0002595173,0.0002586515,0.000202062,0.0002414208,0.0002180773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006546168,"about_ca_system_score_gemma":0.0002609752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007047797,"about_ca_topic_score_gemma":0.007610931,"domain_scores_codex":[0.9999353,0.000006083737,0.000003949268,0.00002300427,0.00001843994,0.00001322111],"domain_scores_gemma":[0.999867,0.00002635148,0.00003492313,0.00001224538,0.00002847984,0.000030971],"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":[0.0004658788,0.0000288107,0.01341587,0.0000289391,0.00001469716,0.0001145035,0.0001025098,0.000218406,0.982578,0.00004263162,0.00003366398,0.002956251],"study_design_scores_gemma":[0.00004127831,0.001345755,0.5795325,0.00001529865,0.00007046558,0.000385518,0.0007384935,0.001637087,0.4137675,0.0001277932,0.002313599,0.00002462299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999231,0.0001629395,0.00005181826,0.00001614114,0.000002604938,0.000001392219,0.0001681591,0.000002941424,0.0003629568],"genre_scores_gemma":[0.9966497,0.0002245517,0.000143732,0.00002397037,0.000003483156,0.000004424923,0.0003177929,0.00000272027,0.002629618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007047797,"threshold_uncertainty_score":0.01401359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139564859469118,"score_gpt":0.2277701121405902,"score_spread":0.216374463545899,"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."}}