{"id":"W1964437380","doi":"10.1016/j.ecoleng.2013.06.041","title":"Long-term denitrification rates in created riverine wetlands and their relationship with environmental factors","year":2013,"lang":"en","type":"article","venue":"Ecological Engineering","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"U.S. Environmental Protection Agency","keywords":"Denitrification; Wetland; Environmental science; Hydrology (agriculture); Nitrate; Vegetation (pathology); Productivity; Water quality; Ecology; Nitrogen; Chemistry; Geology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000373095,0.0001565867,0.0001242894,0.00004439851,0.00004864587,0.00002817033,0.00006983821,0.00006658526,0.001056144],"category_scores_gemma":[0.00001589799,0.00009938626,0.0000166201,0.0001101002,0.00006954926,0.0001752304,0.00006497395,0.0001132173,0.00005749186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001615315,"about_ca_system_score_gemma":0.000001608475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004953561,"about_ca_topic_score_gemma":0.00006158273,"domain_scores_codex":[0.9993489,0.00001688453,0.0001384867,0.0002264069,0.0000684127,0.000200896],"domain_scores_gemma":[0.9996762,0.000102818,0.00002931605,0.0001043747,0.000001184061,0.00008609134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005428008,0.00004831285,0.9900737,0.000002384423,0.000007317722,0.000006241379,0.0001159842,0.00239902,0.00681859,0.000008217126,0.000001248909,0.0005135654],"study_design_scores_gemma":[0.0004460345,0.00009433161,0.9937316,0.000006939574,0.000004963627,0.00001641426,0.00004413008,0.003316454,0.002171809,0.00002481407,0.000009925306,0.0001326136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992781,0.00001484222,0.0001977521,0.00003497189,0.00001563148,0.0002805897,0.000003854223,0.00005307817,0.0001211915],"genre_scores_gemma":[0.9993175,0.000009940469,0.0004668183,0.000004520517,0.000005378145,0.00005953884,0.00005972811,0.000009911892,0.00006665986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00464678,"threshold_uncertainty_score":0.999857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007274947365987498,"score_gpt":0.1739045354430065,"score_spread":0.166629588077019,"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."}}