{"id":"W2586566562","doi":"10.1007/s10532-017-9784-y","title":"Characterization of a novel micro-pressure swirl reactor for removal of chemical oxygen demand and total nitrogen from domestic wastewater at low temperature","year":2017,"lang":"en","type":"article","venue":"Biodegradation","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Major Science and Technology Program for Water Pollution Control and Treatment; National Natural Science Foundation of China; Natural Science Foundation of Jilin Province","keywords":"Chemical oxygen demand; Wastewater; Oxygen; Biochemical oxygen demand; Nitrogen; Waste management; Characterization (materials science); Environmental science; Chemistry; Environmental chemistry; Materials science; Environmental engineering; Nanotechnology; Engineering; Organic chemistry","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":[0.0003114057,0.0004823986,0.0005353892,0.0002050042,0.0002871614,0.0005239961,0.0005858051,0.0004968667,0.0006803627],"category_scores_gemma":[0.0002788574,0.000296314,0.0004815834,0.000153251,0.0002607544,0.0004061805,0.0002349561,0.0004195291,0.0004134237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003363167,"about_ca_system_score_gemma":0.0004746764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001090023,"about_ca_topic_score_gemma":0.001750624,"domain_scores_codex":[0.9997138,0.00002867814,0.00001827112,0.00006363117,0.0001386726,0.00003690924],"domain_scores_gemma":[0.999828,0.00004182827,0.00003871117,0.00001760947,0.00004337141,0.00003044107],"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":[0.00004286101,0.00002519909,0.0001044995,0.00002716416,0.000003201326,0.00002125764,0.000009184298,0.00009315563,0.9986569,0.00001280682,0.00001730635,0.0009865402],"study_design_scores_gemma":[0.000009539538,0.000203671,0.001823726,0.000001701801,0.00001126422,0.00007554118,0.00001674874,0.002315131,0.9950882,0.000009895512,0.0004375945,0.000007151724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837442,0.0004869369,0.01434352,0.0001250279,0.00003987921,0.00004670166,0.0002348512,0.0002412481,0.0007375916],"genre_scores_gemma":[0.9857785,0.0003163154,0.01080722,0.00005379954,0.0000199745,0.0000545287,0.0003819954,0.00005447007,0.002533236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001090023,"threshold_uncertainty_score":0.002440155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134983701776496,"score_gpt":0.2176633559942496,"score_spread":0.2063135189764846,"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."}}