{"id":"W2762551269","doi":"10.1021/acs.est.7b03405","title":"Carbon and Phosphorus Removal from Primary Municipal Wastewater Using Recovered Aluminum","year":2017,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Trojan Technologies (Canada); Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Chemistry; Chemical oxygen demand; Phosphorus; Effluent; Alum; Wastewater; Total suspended solids; Suspended solids; Struvite; Phosphate; Flocculation; Precipitation; Pulp and paper industry; Nitrogen; Biochemical oxygen demand; Environmental chemistry; Environmental engineering; Environmental science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001765104,0.0005888183,0.000554105,0.0004311074,0.0003003918,0.0005213072,0.0003957196,0.0005513976,0.0006997899],"category_scores_gemma":[0.0002623784,0.0001893332,0.0006998642,0.0002904852,0.0001950027,0.0003259426,0.0003586221,0.0003000371,0.0004120643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003953309,"about_ca_system_score_gemma":0.0004927468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002104096,"about_ca_topic_score_gemma":0.00473496,"domain_scores_codex":[0.9997409,0.00003122224,0.00001401294,0.00003922328,0.000122459,0.00005208068],"domain_scores_gemma":[0.9999105,0.00001079345,0.00002426982,0.000008662051,0.00003364435,0.00001215544],"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":[0.00006579559,0.00002755644,0.0002133872,0.0001006415,0.000006894269,0.000107121,0.00001603336,0.0003758745,0.9960187,0.00001737905,0.00002178142,0.003028771],"study_design_scores_gemma":[0.00000907274,0.0002550014,0.000767595,0.000004440031,0.00001562667,0.00009605099,0.00002584803,0.001739706,0.9963722,0.00002356776,0.0006849888,0.000005919045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943058,0.0006841128,0.003926911,0.00005976263,0.00001598391,0.00003674902,0.00007229016,0.00007000499,0.000828449],"genre_scores_gemma":[0.9917896,0.0005110036,0.004480907,0.00003997367,0.000008647435,0.00001461519,0.0001171267,0.00001684717,0.003021355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002104096,"threshold_uncertainty_score":0.00418371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008803948837961,"score_gpt":0.2135412368430428,"score_spread":0.2034531973546632,"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."}}