{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004977132,0.0001110048,0.0001494875,0.00005628497,0.00008725681,0.00008889418,0.0001082943,0.00002618053,0.0005114301],"category_scores_gemma":[0.000003956181,0.00008612171,0.00004530501,0.00006263798,0.00004087553,0.0002133623,0.0001610051,0.000043992,0.00001753259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008089027,"about_ca_system_score_gemma":0.000001965461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001585144,"about_ca_topic_score_gemma":0.00000192952,"domain_scores_codex":[0.9989786,0.00005196515,0.0003319402,0.000130749,0.0003171235,0.0001896671],"domain_scores_gemma":[0.999585,0.000005053034,0.0002194505,0.0001024148,0.000006814057,0.00008123018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004705038,0.003445948,0.1555893,0.001631871,0.002055601,0.002410161,0.004647831,0.08890944,0.4787508,0.04098789,0.09724496,0.1196212],"study_design_scores_gemma":[0.008782879,0.00150965,0.06713989,0.0004379287,0.0008901746,0.0003216196,0.006835407,0.002123611,0.2447763,0.01538052,0.6502141,0.001587888],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940246,0.00003841922,0.0003319093,0.000100813,0.0007175604,0.0001308544,0.000001602108,0.000004788987,0.00464949],"genre_scores_gemma":[0.9965957,0.0002473163,0.00268234,0.00008650147,0.00009674283,0.000001334333,9.643726e-7,0.00001014346,0.0002789525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5529691,"threshold_uncertainty_score":0.5599801,"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."}}