{"id":"W2756169796","doi":"10.1002/etc.3986","title":"Assessing recovery of in vitro steroid production in male rainbow darter (<i>Etheostoma caeruleum</i>) in response to municipal wastewater treatment plant infrastructure changes","year":2017,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; McMaster University Medical Centre; Wilfrid Laurier University; McMaster University; Environment and Climate Change Canada; University of Waterloo","funders":"Canadian Water Network; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Etheostoma; Testosterone (patch); Biology; Wastewater; Environmental science; Fish <Actinopterygii>; Fishery; Endocrinology; Environmental engineering","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":[0.0001322852,0.0002944694,0.0002622733,0.0003098111,0.0003197384,0.0003820959,0.0001828071,0.0002404791,0.0007383199],"category_scores_gemma":[0.0002444436,0.0001701481,0.0002388656,0.0002908619,0.0002818661,0.0001978859,0.0002672496,0.0003124228,0.0002115242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005868168,"about_ca_system_score_gemma":0.0004759555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01692502,"about_ca_topic_score_gemma":0.05725952,"domain_scores_codex":[0.999838,0.0000115328,0.00001029202,0.00005566703,0.00005816339,0.00002638879],"domain_scores_gemma":[0.9997321,0.00002012516,0.0001087228,0.00001820008,0.00008664335,0.00003429467],"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":[0.000203248,0.00002583656,0.1047685,0.00006864125,0.00003480318,0.0001427992,0.0002737592,0.0001073116,0.8907237,0.00001711016,0.00004107835,0.003593192],"study_design_scores_gemma":[0.000005217198,0.0004732871,0.9267173,0.000005338022,0.00003281713,0.0001341272,0.0005495196,0.0001232161,0.07099485,0.00001740672,0.000937675,0.000009219968],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988829,0.0000991913,0.0002494868,0.0000114504,0.000002965726,0.00001082068,0.0003155202,0.00000715034,0.0004204443],"genre_scores_gemma":[0.9966073,0.0001411494,0.0006418925,0.00005438691,0.000003259106,0.00002787769,0.0007031688,0.000009097203,0.001811903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01692502,"threshold_uncertainty_score":0.03365296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767912263043797,"score_gpt":0.2718035605951038,"score_spread":0.2541244379646658,"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."}}