{"id":"W2015710048","doi":"10.1016/j.watres.2011.09.005","title":"Xenobiotic removal efficiencies in wastewater treatment plants: Residence time distributions as a guiding principle for sampling strategies","year":2011,"lang":"en","type":"article","venue":"Water Research","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Hydromantis Environmental Software Solutions (Canada)","funders":"Canada Research Chairs","keywords":"Effluent; Wastewater; Xenobiotic; Residence time distribution; Environmental science; Environmental engineering; Sewage treatment; TRACER; Hydraulic retention time; Sampling (signal processing); Chemistry; Engineering","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":[0.002674701,0.0002978608,0.0004376211,0.0005030785,0.0004694528,0.001257309,0.0005691473,0.0005825379,0.0003285658],"category_scores_gemma":[0.005305404,0.0003622152,0.000361503,0.0003659801,0.0005860651,0.001082632,0.0005795123,0.0006290291,0.0001967439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332596,"about_ca_system_score_gemma":0.0009022102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004034922,"about_ca_topic_score_gemma":0.004630503,"domain_scores_codex":[0.9991723,0.0003194516,0.00005202486,0.0001656051,0.0002088,0.00008182724],"domain_scores_gemma":[0.9985175,0.0009552912,0.000201616,0.0001157616,0.0001761113,0.00003366159],"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":[0.001056501,0.0002244884,0.03688997,0.0003399476,0.00009958353,0.000175528,0.0006006004,0.1720881,0.6005734,0.01911814,0.000746203,0.1680876],"study_design_scores_gemma":[0.00003553971,0.000648023,0.01945202,0.0000416141,0.00007128386,0.0003729762,0.0003716853,0.2453061,0.7213089,0.009248164,0.003073208,0.00007055363],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5447552,0.001108146,0.4501952,0.0005228789,0.00001187212,0.00008459078,0.0002394277,0.0002645933,0.002818069],"genre_scores_gemma":[0.9493532,0.0006301709,0.04893902,0.00007189448,0.000007063835,0.00006746343,0.0001142679,0.00005936312,0.0007576488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004034922,"threshold_uncertainty_score":0.01414531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2433113520168052,"score_gpt":0.4017589421425627,"score_spread":0.1584475901257575,"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."}}