{"id":"W2548319117","doi":"10.1016/j.biortech.2016.11.005","title":"Granulation of activated sludge under low hydrodynamic shear and different wastewater characteristics","year":2016,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Granulation; Wastewater; Chemical oxygen demand; Aeration; Chemistry; Pulp and paper industry; Nitrification; Activated sludge; Sewage treatment; Environmental engineering; Nitrogen; Environmental science; Materials science; Composite material","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":[0.0003751951,0.0004615095,0.000441049,0.0003007198,0.00024599,0.0004609806,0.0001816353,0.0005335245,0.0007107689],"category_scores_gemma":[0.0006243733,0.0001593372,0.0005278919,0.0003044333,0.0003170608,0.000260278,0.0002993628,0.0003306186,0.000173558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002930276,"about_ca_system_score_gemma":0.0003480455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001305447,"about_ca_topic_score_gemma":0.001937732,"domain_scores_codex":[0.9996222,0.00008760148,0.00005110821,0.00005751722,0.00009437589,0.00008708604],"domain_scores_gemma":[0.9997242,0.00008590162,0.00006953296,0.0000324371,0.00003891305,0.0000489519],"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":[0.0004798774,0.00003887239,0.0002893638,0.00004349305,0.000008754461,0.00005705311,0.00005548514,0.0002998838,0.9971482,0.00005072778,0.00002947564,0.001498752],"study_design_scores_gemma":[0.00003886758,0.0003416445,0.006321528,0.000006035274,0.00002211113,0.00005703866,0.00003874545,0.001504621,0.9911509,0.00005347948,0.0004515868,0.00001338888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998691,0.0001281243,0.0006492259,0.00003248015,0.000019122,0.00001088722,0.00006327551,0.0000167327,0.0003890631],"genre_scores_gemma":[0.9985285,0.0000957825,0.0007019098,0.00002377161,0.000007266626,0.00000865901,0.000116594,0.00001170631,0.0005058966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001305447,"threshold_uncertainty_score":0.002595723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005867524163260042,"score_gpt":0.1900928725940393,"score_spread":0.1842253484307793,"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."}}