{"id":"W2124034984","doi":"10.1186/1752-153x-7-54","title":"Performance of a constructed wetland in Grand Marais, Manitoba, Canada: Removal of nutrients, pharmaceuticals, and antibiotic resistance genes from municipal wastewater","year":2013,"lang":"en","type":"article","venue":"Chemistry Central Journal","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Wetland; Effluent; Sewage treatment; Wastewater; Sewage; Nutrient; Surface water; Aquatic ecosystem; Constructed wetland; Population; Environmental science; Biota; Environmental chemistry; Ecology; Environmental engineering; Chemistry; Biology; Environmental health; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002849542,0.0006157884,0.0003484219,0.0002997289,0.002531656,0.0009893294,0.0008605538,0.0004598474,0.001101436],"category_scores_gemma":[0.0003680235,0.0002543559,0.0003891742,0.0005157288,0.0008215765,0.0002086484,0.0005096503,0.0003712725,0.0002715864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01647038,"about_ca_system_score_gemma":0.02163852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9520498,"about_ca_topic_score_gemma":0.9755755,"domain_scores_codex":[0.9996874,0.00002185054,0.0000101429,0.00007950751,0.000107481,0.00009360139],"domain_scores_gemma":[0.9996308,0.00002942759,0.0000299358,0.000009668228,0.0002051848,0.00009499053],"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":[0.003169449,0.001478724,0.1711103,0.0007057121,0.0002198444,0.002508298,0.003326839,0.01170415,0.7603586,0.0004308101,0.002410909,0.04257637],"study_design_scores_gemma":[0.0004042754,0.006432691,0.7856725,0.00009148182,0.0003234527,0.0005356282,0.007905515,0.02207499,0.1612837,0.0001380951,0.01496555,0.0001720543],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976191,0.00006510092,0.0003619781,0.00005920135,0.00000734586,0.0001446251,0.0002667397,0.00002765346,0.001448143],"genre_scores_gemma":[0.9920344,0.0002076556,0.002889186,0.00009508989,0.000003559203,0.00008890646,0.0004680638,0.00001515229,0.00419802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04795021,"threshold_uncertainty_score":0.1195015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012612361240778,"score_gpt":0.2141653931204219,"score_spread":0.2015530318796439,"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."}}