{"id":"W2005498453","doi":"10.2166/wst.2007.499","title":"Slag columns for upgrading phosphorus removal from constructed wetland effluents","year":2007,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Effluent; Phosphorus; Wetland; Slag (welding); Environmental science; Waste management; Environmental engineering; Constructed wetland; Sewage treatment; Engineering; Chemistry; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001561457,0.0004656898,0.0003709555,0.0003761042,0.0002130445,0.0005051165,0.0002498771,0.0003223686,0.000818422],"category_scores_gemma":[0.0001433357,0.0001451602,0.0004078184,0.0002871102,0.0001920738,0.0001928807,0.0003072514,0.0004268851,0.000365617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003058921,"about_ca_system_score_gemma":0.0004329085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003266184,"about_ca_topic_score_gemma":0.007243677,"domain_scores_codex":[0.9998409,0.00003280026,0.00001123429,0.00002611792,0.00005524194,0.00003380603],"domain_scores_gemma":[0.9999417,0.00001373411,0.00001282184,0.000003164848,0.00001117913,0.00001729464],"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":[0.0000968282,0.00005110503,0.0002561642,0.0001814243,0.00001091183,0.00008357571,0.00001786956,0.0002764934,0.9944969,0.00002746122,0.00003716524,0.004464093],"study_design_scores_gemma":[0.00003291314,0.0008214599,0.005365854,0.00003088184,0.00004348762,0.0001500379,0.00006783572,0.001269585,0.9883228,0.00005043368,0.003830811,0.0000139894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875764,0.002769764,0.007476036,0.00008987611,0.00004863902,0.0001014651,0.0003774072,0.000217766,0.001342711],"genre_scores_gemma":[0.9850934,0.001764715,0.01007847,0.0000602658,0.00001438464,0.0000451286,0.0004706914,0.00002817477,0.002444827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003266184,"threshold_uncertainty_score":0.006494343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006279295648594601,"score_gpt":0.2223456518342102,"score_spread":0.2160663561856156,"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."}}