{"id":"W2949919085","doi":"10.1016/j.envpol.2019.06.036","title":"The final discharge: Quantifying contaminants in embalming process effluents discharged to sewers in ontario, Canada","year":2019,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Regional Municipality of Durham; Ministry of the Environment, Conservation and Parks","funders":"Government of Ontario; U.S. Environmental Protection Agency","keywords":"Embalming; Triclosan; Effluent; Environmental chemistry; Chemistry; Octamethylcyclotetrasiloxane; Sewage; Contamination; Environmental science; Environmental engineering; 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":[0.0003137956,0.0003675587,0.000301005,0.001078241,0.003109758,0.001555606,0.0006037845,0.0004929937,0.001274521],"category_scores_gemma":[0.000494173,0.0002184625,0.0003342518,0.001433389,0.0004808815,0.0003207661,0.0004995846,0.0003929399,0.0002145943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01796262,"about_ca_system_score_gemma":0.02045545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9903736,"about_ca_topic_score_gemma":0.9970353,"domain_scores_codex":[0.99921,0.00002490254,0.00002711303,0.00009721521,0.0005087838,0.0001319768],"domain_scores_gemma":[0.999415,0.00001804539,0.00004714845,0.000007473142,0.0004591652,0.00005306931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000520486,0.0002195852,0.8709832,0.0003596954,0.0001499092,0.0007857769,0.006168451,0.003192324,0.05830759,0.0004849959,0.004367974,0.05445986],"study_design_scores_gemma":[0.00001302332,0.00008841957,0.979771,0.00003347551,0.00003467021,0.00006404668,0.003630086,0.001759907,0.006848208,0.00004165499,0.007698461,0.00001705967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905857,0.0002091709,0.0008243697,0.0001186356,0.00000859264,0.00009038741,0.001895088,0.00004304063,0.006225016],"genre_scores_gemma":[0.9809206,0.0004101115,0.00200941,0.0001079657,0.000003884046,0.00003073919,0.001385686,0.00002905801,0.01510258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01796262,"threshold_uncertainty_score":0.1303285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056453998158941,"score_gpt":0.213589884729059,"score_spread":0.2030253447474696,"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."}}