{"id":"W2003220973","doi":"10.2166/wpt.2010.009","title":"Degasification of mixed liquor improves settling and biological nutrient removal","year":2010,"lang":"en","type":"article","venue":"Water Practice & Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Clarifier; Mixed liquor suspended solids; Settling; Activated sludge; Suspended solids; Pulp and paper industry; Chemistry; Volatile suspended solids; Waste management; Environmental science; Environmental engineering; Sewage treatment; Wastewater","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":[0.0001210128,0.0004636739,0.0003022893,0.0002855449,0.0001241891,0.0003309885,0.0002345203,0.0002869088,0.0008777639],"category_scores_gemma":[0.0002111241,0.0001569839,0.0002918608,0.0002206055,0.0001243314,0.0002654243,0.0002315488,0.0003535183,0.0002134125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002296851,"about_ca_system_score_gemma":0.0002383691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002386948,"about_ca_topic_score_gemma":0.004221663,"domain_scores_codex":[0.9998521,0.00001664269,0.00001579327,0.0000310357,0.00005831472,0.00002608419],"domain_scores_gemma":[0.9999069,0.00001194252,0.00002813237,0.000009848284,0.00002314191,0.00002004025],"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":[0.00002384344,0.00001099863,0.0001443785,0.00001542365,0.000001537284,0.00001364784,0.000007586074,0.00004479113,0.9986551,0.00001034991,0.000005255973,0.001067006],"study_design_scores_gemma":[0.000001425704,0.0001259536,0.002656768,0.000002424131,0.000006676472,0.00005334547,0.00001180458,0.0004165968,0.9961802,0.000006010593,0.000536746,0.000002155848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969724,0.0005887005,0.00174192,0.00002855469,0.00000848082,0.000009350315,0.00005879068,0.00004278451,0.0005490643],"genre_scores_gemma":[0.9941821,0.000461969,0.003319382,0.00001913603,0.000003414277,0.000005305719,0.0001708656,0.00001542481,0.001822377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002386948,"threshold_uncertainty_score":0.004746079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009844517165881812,"score_gpt":0.2310247967775923,"score_spread":0.2211802796117105,"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."}}