{"id":"W2797161892","doi":"10.1016/j.scitotenv.2018.03.370","title":"Seasonal variations of steroid hormones released by wastewater treatment plants to river water and sediments: Distribution between particulate and dissolved phases","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; Université de Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wastewater; Particulates; Effluent; Sewage treatment; Sewage; Estrone; Environmental chemistry; Environmental science; Chemistry; Environmental engineering; Hormone","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":[0.00009113933,0.0001171933,0.0001530376,0.0002439977,0.0001937539,0.0003509996,0.0001103439,0.0002182598,0.000830002],"category_scores_gemma":[0.0002210403,0.0001453717,0.000167543,0.0003376228,0.0001943467,0.0002340872,0.0001852001,0.0002097039,0.0001691294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002316321,"about_ca_system_score_gemma":0.0001457148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002886678,"about_ca_topic_score_gemma":0.004817226,"domain_scores_codex":[0.9999406,0.000006439974,0.000004034243,0.00002096521,0.00001445916,0.00001343997],"domain_scores_gemma":[0.9998356,0.00004260755,0.00004170729,0.000009933455,0.00004706705,0.00002297795],"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":[0.002854636,0.000135203,0.4440785,0.0001082227,0.0001349444,0.0002912293,0.0006178978,0.0006423782,0.5312358,0.0001670473,0.0002875045,0.01944662],"study_design_scores_gemma":[0.00001809329,0.0003624651,0.9714379,0.00000336403,0.00004525159,0.0001105018,0.0006059642,0.000591946,0.02574738,0.00006911859,0.0009981818,0.00000975416],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990944,0.00008868585,0.0001922063,0.00001422974,0.000004379493,0.000002945611,0.0001956564,0.000006387349,0.0004010989],"genre_scores_gemma":[0.9989012,0.00006229562,0.00008467423,0.00001348242,0.000003933759,0.000004514927,0.0001950891,0.000003418267,0.0007313383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002886678,"threshold_uncertainty_score":0.005739689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619630241941065,"score_gpt":0.2470277685031191,"score_spread":0.2308314660837085,"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."}}