{"id":"W2595932209","doi":"10.1016/j.chemosphere.2017.03.070","title":"Estimating removals of contaminants of emerging concern from wastewater treatment plants: The critical role of wastewater hydrodynamics","year":2017,"lang":"en","type":"article","venue":"Chemosphere","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wastewater; Environmental science; Contamination; Sewage treatment; Waste management; Wastewater reuse; Environmental engineering; Engineering; Biology; Ecology","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":[0.001230481,0.000530643,0.0005895987,0.00073555,0.0004316322,0.001473939,0.0003895119,0.001153003,0.0003743999],"category_scores_gemma":[0.002472992,0.0003568682,0.0005731996,0.0005331201,0.0003258665,0.0008384894,0.000458463,0.0005199572,0.0002138341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291745,"about_ca_system_score_gemma":0.001136585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01654567,"about_ca_topic_score_gemma":0.01780964,"domain_scores_codex":[0.9992346,0.0001852611,0.00005552207,0.0001722102,0.0002806654,0.00007180309],"domain_scores_gemma":[0.9990556,0.0005134794,0.0001642362,0.00004589079,0.0001660922,0.00005468887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009234064,0.0005965958,0.3634519,0.0003461167,0.0003059116,0.0001245494,0.000207914,0.03126918,0.5490711,0.0002137281,0.0004684747,0.05302098],"study_design_scores_gemma":[0.00007481797,0.001754108,0.4378076,0.00002902711,0.000394862,0.0002026412,0.0005460231,0.1250987,0.4319121,0.0005738772,0.001500092,0.0001061825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938899,0.0002276562,0.004854181,0.00006674219,0.00001022748,0.00002515488,0.0001887691,0.00005636547,0.0006809895],"genre_scores_gemma":[0.9946333,0.000276189,0.004415835,0.00003431772,0.000007439571,0.00001201448,0.0002446453,0.00001723922,0.0003590873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01654567,"threshold_uncertainty_score":0.03289872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550343382343828,"score_gpt":0.2973281270156635,"score_spread":0.2718246931922252,"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."}}