{"id":"W2133734238","doi":"10.1672/0277-5212(2006)26[349:ytodwb]2.0.co;2","title":"Year-round treatment of dairy wastewater by constructed wetlands in Atlantic Canada","year":2006,"lang":"en","type":"article","venue":"Wetlands","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nova Scotia Department of Agriculture; University of New Brunswick","funders":"","keywords":"Wetland; Environmental science; Wastewater; Biochemical oxygen demand; Total suspended solids; Sewage treatment; Hydrology (agriculture); Constructed wetland; Environmental engineering; Phosphorus; Chemical oxygen demand; Ecology; Geology; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003923545,0.000182116,0.0003124076,0.0003777814,0.00270858,0.00109177,0.001005481,0.0004533434,0.0005786108],"category_scores_gemma":[0.00054368,0.0001618116,0.0002542344,0.0005647434,0.0007262782,0.0003352475,0.0005515469,0.0005257144,0.00009145413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03642564,"about_ca_system_score_gemma":0.03229259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9834275,"about_ca_topic_score_gemma":0.9971247,"domain_scores_codex":[0.9995857,0.00003026112,0.00001322749,0.00007184489,0.0001459222,0.0001530375],"domain_scores_gemma":[0.9994398,0.00004010396,0.00005049547,0.00001652098,0.0002785381,0.0001745312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004826531,0.001542241,0.6584576,0.0003958548,0.000364488,0.002537503,0.005935926,0.008233796,0.1900111,0.001205313,0.006587539,0.1199021],"study_design_scores_gemma":[0.00008465457,0.0004009099,0.9604301,0.00001995602,0.00009259913,0.0001454906,0.005042939,0.004572193,0.01582173,0.0001407766,0.01319191,0.00005667634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997813,0.0001413075,0.0001366202,0.0001402372,0.000009544118,0.00002112651,0.0002296185,0.00001149503,0.001497127],"genre_scores_gemma":[0.9939142,0.0002049267,0.0006647867,0.0001021474,0.000002363743,0.00001012617,0.0002671439,0.000006164514,0.004828207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03642564,"threshold_uncertainty_score":0.2642877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004694113620510203,"score_gpt":0.1841928869998015,"score_spread":0.1794987733792913,"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."}}