{"id":"W2065837803","doi":"10.2134/jeq2008.0021","title":"Ammonia Emissions from Surface Flow and Subsurface Flow Constructed Wetlands Treating Dairy Wastewater","year":2008,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Department of Agriculture; Dalhousie University","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Killam Trusts; Canadian Water Network; Department of Agriculture, Nova Scotia","keywords":"Volatilisation; Wetland; Wastewater; Environmental science; Subsurface flow; Environmental engineering; Environmental chemistry; Ammonia; Constructed wetland; Ammonia volatilization from urea; Water quality; Surface water; Hydrology (agriculture); Sewage treatment; Flux (metallurgy); Chemistry; Groundwater; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00009173617,0.0001718204,0.0001959011,0.000127561,0.0002314296,0.0003428491,0.0001622994,0.0001550314,0.0002253755],"category_scores_gemma":[0.0001106807,0.00009912285,0.0001709588,0.0001573948,0.0001486521,0.0001374063,0.0001575932,0.000176348,0.00004577565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186401,"about_ca_system_score_gemma":0.0005361997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08949184,"about_ca_topic_score_gemma":0.1362278,"domain_scores_codex":[0.999884,0.00001019478,0.000005407919,0.0000250404,0.00004341722,0.00003197332],"domain_scores_gemma":[0.9999309,0.00001021799,0.00001776462,0.000002517378,0.00002543859,0.00001323127],"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":[0.0007273155,0.00008972899,0.07968411,0.0001075206,0.00002701815,0.0001446824,0.0001850352,0.001054285,0.905156,0.00003279846,0.0001349849,0.01265666],"study_design_scores_gemma":[0.00004055526,0.001228335,0.7254907,0.00001261269,0.00003878704,0.0001458533,0.0005100024,0.007104091,0.2644268,0.00004339487,0.0009386499,0.0000202519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996932,0.00003070288,0.00009893955,0.000002534899,8.530977e-7,0.000004139674,0.00004154281,0.000002033979,0.000126107],"genre_scores_gemma":[0.9985535,0.0001171406,0.0004833565,0.000009712284,0.000001020219,0.000008926452,0.0001488518,0.000002138283,0.000675261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08949184,"threshold_uncertainty_score":0.1779419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478115685704988,"score_gpt":0.229121104593782,"score_spread":0.2143399477367322,"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."}}