{"id":"W2769728796","doi":"10.3390/w9120928","title":"Peat as Substrate for Small-Scale Constructed Wetlands Polishing Secondary Effluents from Municipal Wastewater Treatment Plant","year":2017,"lang":"en","type":"article","venue":"Water","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; Canada Research Chairs","keywords":"Effluent; Peat; Environmental science; Constructed wetland; Phosphorus; Nutrient; Sewage treatment; Wetland; Environmental engineering; Hydraulic retention time; Substrate (aquarium); Environmental chemistry; Chemistry; Ecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008760753,0.0002817331,0.000175644,0.0001715364,0.0001862981,0.0002975111,0.0001505167,0.000155085,0.0003730077],"category_scores_gemma":[0.0001005045,0.00008126567,0.0002062731,0.0001286328,0.0001205091,0.0001452679,0.0002063334,0.0001843425,0.0001107686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001640246,"about_ca_system_score_gemma":0.0002838035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001865278,"about_ca_topic_score_gemma":0.005895343,"domain_scores_codex":[0.9999292,0.00001272223,0.000005688462,0.00001370316,0.00002159238,0.00001708939],"domain_scores_gemma":[0.9999466,0.00000673254,0.00001643797,0.000004336425,0.000009953893,0.00001585025],"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":[0.000134125,0.00005045315,0.00129921,0.00008298612,0.00000540179,0.0001098776,0.00002843566,0.0003157174,0.9941655,0.00002562844,0.0000213311,0.00376127],"study_design_scores_gemma":[0.00001730521,0.0009577037,0.01654909,0.00001225841,0.00003539945,0.0001791614,0.0001134188,0.001935882,0.9789329,0.00003110512,0.001224793,0.00001105117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984905,0.00008100623,0.00108284,0.000006137781,0.000005674566,0.00001842187,0.00003574495,0.00001614415,0.0002634317],"genre_scores_gemma":[0.9974282,0.000100829,0.002005848,0.000004919857,0.000001673583,0.00001642408,0.00006854425,0.000004462338,0.0003690238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001865278,"threshold_uncertainty_score":0.003708839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741947996738909,"score_gpt":0.2307102651791421,"score_spread":0.213290785211753,"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."}}