{"id":"W2935278505","doi":"10.1016/j.jenvman.2019.03.097","title":"Enhanced nitrogen removal in the treatment of rural domestic sewage using vertical-flow multi-soil-layering systems: Experimental and modeling insights","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; United Nations Development Programme","keywords":"Layering; Sewage; Environmental science; Sewage treatment; Nitrogen; Environmental engineering; Chemistry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001518482,0.0002714916,0.0003761831,0.0001233023,0.00006912821,0.00003867499,0.0002250517,0.00004838466,0.0001055998],"category_scores_gemma":[0.000001393581,0.0001840108,0.0001248011,0.0001051211,0.0001136596,0.0002651779,0.0001631139,0.0000904086,0.00002068251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009059352,"about_ca_system_score_gemma":0.000004479802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008388767,"about_ca_topic_score_gemma":0.000007572071,"domain_scores_codex":[0.9982118,0.0001095616,0.0006470763,0.0002206617,0.0005190436,0.0002918552],"domain_scores_gemma":[0.9993997,0.00003431274,0.0001871245,0.000283234,0.000002147001,0.00009350826],"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":[0.0003851389,0.002624002,0.04362398,0.00007791401,0.0004021553,0.0005815508,0.009373875,0.444187,0.4934009,0.00002524524,0.000001530854,0.005316761],"study_design_scores_gemma":[0.02051181,0.004152234,0.03395317,0.0007720678,0.00080075,0.001962978,0.06221664,0.7985756,0.0755417,0.0001770934,0.0002374635,0.001098446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968109,0.001207691,0.0008920609,0.000009185973,0.0001709451,0.0006806568,0.000004710093,0.000004784873,0.0002190672],"genre_scores_gemma":[0.9966148,0.0003702383,0.002905714,0.00001294185,0.00002205031,0.00001293193,0.000002989631,0.00002096846,0.00003743706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4178592,"threshold_uncertainty_score":0.7503745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131961308637061,"score_gpt":0.230707937278729,"score_spread":0.2175118064150229,"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."}}