{"id":"W1996855294","doi":"10.4296/cwrj2703263","title":"Wastewater Treatment Using Constructed Wetlands","year":2002,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wetland; Marsh; Wastewater; Environmental science; Sewage treatment; Effluent; Nova scotia; Hydrology (agriculture); Surface water; Subsurface flow; Environmental engineering; Constructed wetland; Groundwater; Engineering; Ecology; Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0001833944,0.000422779,0.0003224331,0.0005778226,0.0003273561,0.0007357292,0.0003742971,0.0003025569,0.001013702],"category_scores_gemma":[0.000199488,0.0001242999,0.0003807525,0.0003781534,0.0003425621,0.0003751921,0.0003271049,0.0002840509,0.0007005315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045144,"about_ca_system_score_gemma":0.0007025017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009204503,"about_ca_topic_score_gemma":0.02638414,"domain_scores_codex":[0.9997084,0.00003665347,0.00001169756,0.00003249941,0.000172983,0.00003773094],"domain_scores_gemma":[0.999925,0.00001552439,0.0000143763,0.0000062682,0.00003145698,0.000007324594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001455345,0.0002187816,0.002492847,0.003514315,0.0001373011,0.0007653857,0.0001683513,0.006866139,0.6257167,0.005832198,0.005898099,0.3482443],"study_design_scores_gemma":[0.00006833964,0.001096424,0.01383104,0.0004337079,0.0002049711,0.001815415,0.0002267902,0.004822211,0.555819,0.00188791,0.4197076,0.00008666278],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3981502,0.2185073,0.2990781,0.002171653,0.001378601,0.0007302842,0.0009234846,0.001617499,0.07744282],"genre_scores_gemma":[0.7584689,0.1386261,0.06033172,0.000488682,0.000168757,0.0001786833,0.0009312244,0.0001025699,0.04070348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009204503,"threshold_uncertainty_score":0.01830184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937205089005514,"score_gpt":0.1938059151449314,"score_spread":0.1744338642548763,"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."}}