{"id":"W2063717531","doi":"10.1016/j.ecoleng.2003.10.003","title":"Feasibility of using ornamental plants (Zantedeschia aethiopica) in subsurface flow treatment wetlands to remove nitrogen, chemical oxygen demand and nonylphenol ethoxylate surfactants—a laboratory-scale study","year":2003,"lang":"en","type":"article","venue":"Ecological Engineering","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":102,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Consejo Nacional de Ciencia y Tecnología; Trent University","keywords":"Effluent; Chemical oxygen demand; Chemistry; Wastewater; Environmental chemistry; Nitrate; Ammonium; Sewage treatment; Pulp and paper industry; Nitrogen; Kjeldahl method; Sewage; Biochemical oxygen demand; Nonylphenol; Environmental engineering; Environmental science; Organic chemistry","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":[0.0002077176,0.0003169517,0.0001704889,0.0001053548,0.0002966235,0.0003090264,0.0003343599,0.0003712633,0.0002087141],"category_scores_gemma":[0.0002353177,0.0001535429,0.0002214939,0.00009990372,0.0003050748,0.0003852246,0.0001890316,0.0004362531,0.00006328114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003217621,"about_ca_system_score_gemma":0.0002871819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005423254,"about_ca_topic_score_gemma":0.005216242,"domain_scores_codex":[0.9999102,0.00001825647,0.000005013898,0.00002114528,0.00002334433,0.00002204065],"domain_scores_gemma":[0.9998705,0.00003824677,0.00002900048,0.00001209681,0.00002634874,0.00002381741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001124695,0.00007010926,0.0006594248,0.00001712717,0.000004336011,0.00001727211,0.00002190294,0.0001019568,0.998378,0.00002357461,0.000006033957,0.0005878252],"study_design_scores_gemma":[0.00006997424,0.001889497,0.02031239,0.000003407627,0.00004527754,0.0001006822,0.0001261128,0.00310613,0.9738052,0.00006644479,0.0004654544,0.000009475559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994998,0.00004276652,0.0003084556,0.000010644,0.000002359514,0.000007300966,0.00001623291,0.000003756961,0.0001086939],"genre_scores_gemma":[0.9973972,0.0001313335,0.001787662,0.00001555557,0.000002255444,0.00001555884,0.00008448515,0.000005118874,0.0005608716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005423254,"threshold_uncertainty_score":0.01078337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470441901901871,"score_gpt":0.2332532026351194,"score_spread":0.2185487836161006,"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."}}