{"id":"W2058975462","doi":"10.1007/s11356-014-3647-4","title":"Impact of influent wastewater quality on nitrogen removal rates in multistage treatment wetlands","year":2014,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Current Water Technologies (Canada)","funders":"","keywords":"Anoxic waters; Denitrification; Organic matter; Nitrate; Nitrification; Wastewater; Environmental science; Sewage treatment; Wetland; Nutrient; Environmental engineering; Chemical oxygen demand; Nitrogen; Total organic carbon; Environmental chemistry; Chemistry; Pulp and paper industry; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004318989,0.0002394078,0.0004202139,0.0002076151,0.0002236007,0.0007132622,0.0001915845,0.0003646528,0.0003861339],"category_scores_gemma":[0.0008581517,0.0001731191,0.0004466469,0.0002397042,0.000242368,0.0002662755,0.000295679,0.000315767,0.00009340619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000580121,"about_ca_system_score_gemma":0.0002542463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005801415,"about_ca_topic_score_gemma":0.005941261,"domain_scores_codex":[0.9995548,0.00009934108,0.00004830655,0.00007219792,0.0001458232,0.00007946514],"domain_scores_gemma":[0.9995331,0.0001698302,0.0001027689,0.00002590459,0.0001061504,0.00006236161],"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":[0.0016636,0.0002781503,0.009696261,0.0001404683,0.0000510258,0.0001346512,0.00009713897,0.003088248,0.9783908,0.00003186691,0.00003915449,0.006388728],"study_design_scores_gemma":[0.00004046008,0.003890979,0.08458202,0.00001324452,0.00008427806,0.0001068404,0.0001882595,0.007059598,0.9034985,0.00004301584,0.0004613164,0.00003145987],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995621,0.00004966699,0.0002685602,0.000005780241,0.000002201358,0.000004458151,0.00002327093,0.000004859724,0.00007910511],"genre_scores_gemma":[0.9992715,0.00007329645,0.0003431353,0.000008191128,0.00000119442,0.000003952861,0.00006508946,0.000003687812,0.0002300566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005801415,"threshold_uncertainty_score":0.01153529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03104246654144699,"score_gpt":0.348004165212202,"score_spread":0.316961698670755,"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."}}