{"id":"W2080018487","doi":"10.1007/s101630300001","title":"Wastewater remediation using coal ash","year":2003,"lang":"en","type":"article","venue":"Journal of Material Cycles and Waste Management","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Power Generation; University of Toronto","funders":"","keywords":"Waste management; Environmental science; Kjeldahl method; Environmental remediation; Chemical oxygen demand; Fly ash; Phosphorus; Coal; Wastewater; Environmental engineering; Biochemical oxygen demand; Nutrient; Nitrogen; Chemistry; Engineering; Contamination","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":[0.0001468281,0.0002521499,0.0003311915,0.0003128361,0.0003717262,0.0005289314,0.0002203016,0.0004241522,0.001575976],"category_scores_gemma":[0.0002177467,0.0001156846,0.000221504,0.000178953,0.0001493763,0.0002718286,0.0002722078,0.0002402504,0.0002862626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000277663,"about_ca_system_score_gemma":0.0003650289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002985163,"about_ca_topic_score_gemma":0.003551923,"domain_scores_codex":[0.9999028,0.00001306718,0.000008019106,0.00001365038,0.00003532424,0.00002715611],"domain_scores_gemma":[0.9999282,0.00001692705,0.000008985948,0.000007651925,0.00002761784,0.00001058765],"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":[0.0005003582,0.00009682752,0.0007743335,0.0001599435,0.00001474799,0.0001479642,0.00008206132,0.0008825466,0.9766377,0.0002783744,0.000232046,0.02019298],"study_design_scores_gemma":[0.00001885186,0.0001521804,0.0008859909,0.000005972091,0.00001272306,0.00007386539,0.00005248596,0.002233163,0.9951903,0.0001244332,0.001245574,0.000004515083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950722,0.0004910595,0.001669377,0.0001371791,0.00005071282,0.00001779933,0.00004175694,0.0000771678,0.002442602],"genre_scores_gemma":[0.9959579,0.0002397893,0.0006500499,0.0000284876,0.000004729364,0.000003378332,0.00003231009,0.000009152623,0.003074194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002985163,"threshold_uncertainty_score":0.00593555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009512069305642417,"score_gpt":0.2085911386123771,"score_spread":0.1990790693067347,"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."}}