{"id":"W2564634184","doi":"10.1021/acs.est.6b05370","title":"Reduction of Intersex in a Wild Fish Population in Response to Major Municipal Wastewater Treatment Plant Upgrades","year":2016,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Reproductive biology and impacts on aquatic species","field":"Biochemistry, Genetics and Molecular Biology","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Environment; Ministry of the Environment, Conservation and Parks; Environment and Climate Change Canada; University of Waterloo","funders":"Canadian Water Network; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Effluent; Etheostoma; Outfall; Wastewater; Sewage treatment; Population; Activated sludge; Biology; Environmental science; Fishery; Environmental engineering; Fish <Actinopterygii>; Environmental health; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002643016,0.0001661801,0.0001243821,0.0004324618,0.0003776275,0.0002626049,0.0001815688,0.0001889251,0.0008396815],"category_scores_gemma":[0.0004071904,0.0001222573,0.000165508,0.0002367199,0.0003159907,0.0001556439,0.0003312859,0.0002205599,0.0001226897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008007979,"about_ca_system_score_gemma":0.0004376046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01682078,"about_ca_topic_score_gemma":0.07425688,"domain_scores_codex":[0.999708,0.00002270493,0.00001280901,0.0001140712,0.000105864,0.00003664482],"domain_scores_gemma":[0.9995925,0.00003380156,0.0001760589,0.00003002122,0.0001056076,0.0000620861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002423256,0.0001551203,0.7605913,0.00002947781,0.00006151377,0.0003562948,0.0006891263,0.0001400857,0.2234015,0.00007606019,0.0001503458,0.01410696],"study_design_scores_gemma":[0.000001674519,0.0003731139,0.9929093,0.000002639299,0.00001127644,0.0001293465,0.0003176518,0.00006985169,0.005834234,0.00001629127,0.0003303646,0.000004245935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995189,0.00002169322,0.00008319732,0.000005950192,9.497238e-7,0.000006812768,0.00009117261,0.000003390408,0.0002679418],"genre_scores_gemma":[0.9978396,0.00006277607,0.0002196749,0.00003126705,0.00000145981,0.00001529037,0.0002999569,0.000002422076,0.001527599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01682078,"threshold_uncertainty_score":0.03344578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008794597189905655,"score_gpt":0.2412216327508629,"score_spread":0.2324270355609572,"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."}}