{"id":"W3168324756","doi":"10.1007/s13762-021-03449-1","title":"Field engineering application of agricultural farmland surface runoff pollution treatment by combined bioreactor and constructed wetlands","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Science and Technology","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"State Key Laboratory of Hydraulics and Mountain River Engineering; Chengdu Science and Technology Bureau; Department of Science and Technology of Sichuan Province; National Natural Science Foundation of China","keywords":"Sawdust; Environmental science; Surface runoff; Environmental engineering; Denitrification; Bioreactor; Eutrophication; Pulp and paper industry; Chemistry; Nitrogen; Nutrient; Engineering; Ecology","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":[0.0002053526,0.0002822118,0.0002802198,0.0002509474,0.000385212,0.0004685739,0.0002504791,0.0003436938,0.000511007],"category_scores_gemma":[0.0001310573,0.0001302385,0.000439254,0.0002355074,0.0001670486,0.0001673852,0.0002355393,0.0002640638,0.00007751364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005451925,"about_ca_system_score_gemma":0.0007620092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005277618,"about_ca_topic_score_gemma":0.01123708,"domain_scores_codex":[0.9998584,0.00001946986,0.000008278509,0.00003621965,0.00004847801,0.00002916782],"domain_scores_gemma":[0.9998962,0.00002103716,0.00001524632,0.000008421009,0.00004317833,0.00001601523],"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":[0.0001268409,0.0001677854,0.0006978015,0.00006665294,0.000009987702,0.00004662365,0.00003239567,0.001159349,0.9926197,0.00005318275,0.00004458565,0.004975163],"study_design_scores_gemma":[0.00004716839,0.001676702,0.0118792,0.000007819884,0.00006777043,0.00006236306,0.0001441335,0.005844386,0.9788024,0.00008581033,0.001371161,0.00001099227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974245,0.0001471143,0.001849632,0.00002620906,0.00001295592,0.00001744289,0.00002918904,0.00001563113,0.0004773977],"genre_scores_gemma":[0.9969521,0.0001573372,0.002141862,0.00001080271,0.000004116454,0.00001324444,0.00002914557,0.000002969133,0.0006884639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005277618,"threshold_uncertainty_score":0.01049376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001921399451127019,"score_gpt":0.1810334716813819,"score_spread":0.1791120722302549,"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."}}