{"id":"W2288615002","doi":"10.2166/wst.2015.356","title":"Preliminary evaluation of biosolids characteristics for anaerobic membrane reactors treating municipal wastewaters","year":2015,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Solar Energy Technologies Office; China Scholarship Council","keywords":"Biosolids; Volatile suspended solids; Suspended solids; Total dissolved solids; Anaerobic digestion; Total suspended solids; Mixed liquor suspended solids; Kjeldahl method; Wastewater; Chemistry; Pulp and paper industry; Aeration; Sewage treatment; Waste management; Dewatering; Environmental science; Biogas; Phosphorus; Environmental engineering; Chemical oxygen demand; Nitrogen; Activated sludge; Methane","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":[0.0007842365,0.000489001,0.0005161173,0.0003096404,0.0003043007,0.0007000076,0.0002527799,0.000555813,0.0002807643],"category_scores_gemma":[0.001309971,0.0001832939,0.0004554062,0.0002686424,0.0001870174,0.0004817332,0.0002662625,0.0003960861,0.0001585653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004707344,"about_ca_system_score_gemma":0.0004408243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002440375,"about_ca_topic_score_gemma":0.002537105,"domain_scores_codex":[0.9992931,0.0001898134,0.00007117751,0.00006938938,0.0002853442,0.0000911974],"domain_scores_gemma":[0.9993969,0.0002106397,0.0001170711,0.000019057,0.000198302,0.00005799906],"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":[0.0002276559,0.00003875286,0.00119489,0.00009587712,0.000008349446,0.00004050794,0.00003816679,0.0002721218,0.9951844,0.00001293859,0.00001028646,0.002876181],"study_design_scores_gemma":[0.00001090916,0.001088538,0.01072083,0.00001020563,0.00002841541,0.00009902832,0.0001057345,0.001149976,0.9859748,0.00002002621,0.0007807873,0.00001054239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969851,0.0005956972,0.001887651,0.00003608396,0.000008314164,0.00003670845,0.0001097928,0.00002322927,0.0003174234],"genre_scores_gemma":[0.995883,0.0005361611,0.002613387,0.0000196365,0.000006379393,0.00003290073,0.0003250869,0.00001424257,0.0005690847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002440375,"threshold_uncertainty_score":0.004852355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04508061612293347,"score_gpt":0.296214632752126,"score_spread":0.2511340166291925,"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."}}