{"id":"W2086210578","doi":"10.1080/09593332708618723","title":"Field Investigation of Advanced Filtration for Phosphorus Removal from Constructed Treatment Wetland Effluents","year":2006,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phosphorus; Effluent; Environmental science; Filter (signal processing); Outflow; Wetland; Filtration (mathematics); Ground granulated blast-furnace slag; Environmental engineering; Constructed wetland; Sand filter; Sewage treatment; Pulp and paper industry; Wastewater; Cement; Metallurgy; Geology; Materials science; Ecology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002908198,0.0002252453,0.0002450054,0.00007494325,0.00009406489,0.000007621376,0.0001519223,0.0001964332,0.0006046193],"category_scores_gemma":[0.000008825269,0.0002069308,0.00007547683,0.0001325824,0.0004012645,0.0001082715,0.00008281888,0.00006227845,0.0000547026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003828372,"about_ca_system_score_gemma":0.000007486064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006815678,"about_ca_topic_score_gemma":0.0001516192,"domain_scores_codex":[0.9987764,0.00001984182,0.0003560657,0.0004280932,0.0001652525,0.0002543514],"domain_scores_gemma":[0.9993614,0.0000677297,0.0001887053,0.0003350817,0.000002102346,0.00004501271],"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":[0.0001033795,0.00009106372,0.4374796,0.000001688255,0.00003009054,0.000006162521,0.00004487226,0.0001029263,0.5263226,0.00007652467,0.00009240574,0.03564873],"study_design_scores_gemma":[0.002478013,0.0007574183,0.07992717,0.0000120252,0.00006030159,0.00002982195,0.0001473844,0.0001408686,0.9061338,0.007624217,0.002488093,0.0002009214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978751,0.0001072502,0.0002955513,0.0002205624,0.0001118304,0.000687947,0.0002137664,0.00008671189,0.0004013028],"genre_scores_gemma":[0.9807898,0.00003103628,0.01833059,0.00002343317,0.00001945861,0.0001303375,0.000476592,0.00001918616,0.0001795398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3798112,"threshold_uncertainty_score":0.8438393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004098357770092243,"score_gpt":0.1886895039702278,"score_spread":0.1845911462001356,"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."}}