{"id":"W2965321807","doi":"10.1016/j.ecoleng.2019.07.003","title":"Long term decentralized greywater treatment for water reuse purposes in a tourist facility by vertical ecosystem","year":2019,"lang":"en","type":"article","venue":"Ecological Engineering","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"European Regional Development Fund; Ministerio de Economía y Competitividad; European Commission; Indian National Science Academy; Canadian Institute for Advanced Research","keywords":"Chemistry; Hydraulic retention time; Environmental science; Effluent; Environmental chemistry; Environmental engineering; Pulp and paper industry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001466606,0.0001607778,0.0002032248,0.0001168778,0.0007241191,0.0003627029,0.0004268741,0.0002509209,0.0009603332],"category_scores_gemma":[0.0001591598,0.00009257301,0.0002523361,0.0001404027,0.0003560265,0.0002340842,0.0005926783,0.0002339292,0.0001257496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293988,"about_ca_system_score_gemma":0.001900798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02738833,"about_ca_topic_score_gemma":0.0838822,"domain_scores_codex":[0.9998674,0.00001763081,0.000003276841,0.00003565592,0.000025177,0.00005093437],"domain_scores_gemma":[0.9998791,0.00001026629,0.00001783406,0.00001309801,0.00002603722,0.0000536771],"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":[0.004061242,0.004097733,0.07019039,0.0002886756,0.0001224343,0.0008311619,0.001229608,0.01563932,0.8247579,0.0004011702,0.001044052,0.07733639],"study_design_scores_gemma":[0.0008403431,0.05698206,0.5947239,0.00006760255,0.0004122951,0.0007952219,0.006127784,0.08624487,0.2451793,0.0008830015,0.007602257,0.0001413688],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995736,0.000005298121,0.0002176892,0.000005072763,0.000001074658,0.000009655771,0.00001274847,0.0000045708,0.0001702816],"genre_scores_gemma":[0.9976279,0.00001216467,0.0009269177,0.00000639065,0.000001279183,0.00001878539,0.00004872493,0.000002651336,0.001355127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02738833,"threshold_uncertainty_score":0.05445784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007078105800544921,"score_gpt":0.1970631691276298,"score_spread":0.1899850633270849,"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."}}