{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002879761,0.00009492697,0.0001162248,0.0004007599,0.00003225053,0.000002882134,0.000183512,0.000109816,0.00002164605],"category_scores_gemma":[0.0001095377,0.00006409426,0.00002000464,0.0002368446,0.0006895112,0.00001349361,0.00012185,0.00003457197,0.00000712126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002413829,"about_ca_system_score_gemma":0.00001668156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007747536,"about_ca_topic_score_gemma":0.0001222083,"domain_scores_codex":[0.9990776,0.00005256222,0.0001853403,0.0003839298,0.00007545256,0.0002251487],"domain_scores_gemma":[0.9995979,0.000007267241,0.00005414004,0.0003060457,0.00000232913,0.00003228815],"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":[0.0004751459,0.00009923924,0.07101823,4.410747e-7,0.000003376365,0.000001597139,0.0001872027,0.00001426562,0.9254785,0.00001704622,0.00001011355,0.002694914],"study_design_scores_gemma":[0.0003838209,0.0009312032,0.2585759,0.00001382309,0.00000151615,0.00002750902,0.0006375748,0.000002620838,0.7385215,0.00009702367,0.0007381635,0.00006930128],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974931,0.00003265859,0.000007423197,0.002150534,0.00006686192,0.0002060753,0.00001593002,0.000005642061,0.00002177146],"genre_scores_gemma":[0.999413,0.00005340288,0.0001731476,0.00001866536,0.00001422358,0.00002908353,0.000007968374,0.000004480334,0.00028609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1875577,"threshold_uncertainty_score":0.2613688,"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."}}