{"id":"W2093977109","doi":"10.2166/wst.2006.402","title":"Chemical phosphorus removal to extremely low levels: experience of two plants in the Washington, DC area","year":2006,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; EnviroSim (Canada)","funders":"","keywords":"Phosphorus; Effluent; Phosphate; Ferric; Chemistry; Hydroxide; Adsorption; Precipitation; Sorbent; Ferrous; Wastewater; Sewage treatment; Inorganic chemistry; Environmental chemistry; Environmental engineering; Environmental science; Organic chemistry","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":[0.001133191,0.0007747717,0.0004686996,0.0002273815,0.003591684,0.001210733,0.001080905,0.001966889,0.001594693],"category_scores_gemma":[0.001106436,0.0002934212,0.0003824585,0.0003988055,0.0006773066,0.0007644198,0.0009462748,0.001184656,0.0004099805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003735088,"about_ca_system_score_gemma":0.003735995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1253566,"about_ca_topic_score_gemma":0.2214753,"domain_scores_codex":[0.9993839,0.0001447287,0.00002319664,0.0001087995,0.0002033482,0.0001359809],"domain_scores_gemma":[0.9992862,0.0001628587,0.00003713738,0.00005664621,0.0002696609,0.0001873867],"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":[0.003629441,0.02241506,0.08576844,0.00150561,0.0003507735,0.01772476,0.03393034,0.03142998,0.4633561,0.001114652,0.01018296,0.328592],"study_design_scores_gemma":[0.001104288,0.04656278,0.26669,0.0002439174,0.0006370115,0.005107002,0.09976467,0.06641415,0.3940391,0.001704762,0.1170378,0.000694434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962167,0.00007169124,0.0008419184,0.0003868701,0.00001123868,0.00009630014,0.00005868229,0.0000325678,0.002284036],"genre_scores_gemma":[0.982843,0.0003863407,0.003940229,0.0003460732,0.0000123995,0.00008270385,0.0002855315,0.00003403715,0.01206965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1253566,"threshold_uncertainty_score":0.2492539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360266447281832,"score_gpt":0.2328179599439317,"score_spread":0.2192152954711134,"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."}}