{"id":"W2797764919","doi":"10.1039/c8ew00009c","title":"Long-term partial nitritation and microbial characteristics in treating low C/N ratio domestic wastewater","year":2018,"lang":"en","type":"article","venue":"Environmental Science Water Research & Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"Natural Science Foundation of Beijing Municipality; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Wastewater; Term (time); Pulp and paper industry; Environmental science; Sewage treatment; Ammonium; Sewage; Anammox; Chemistry; Waste management; Environmental engineering; Nitrogen; Engineering; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00110011,0.0002279458,0.0002139889,0.0005059735,0.0006961341,0.0001464536,0.0005463845,0.0001463025,0.001022249],"category_scores_gemma":[0.00004187681,0.0001676688,0.00002798294,0.0006219269,0.006613659,0.0005885789,0.001183361,0.0003263414,0.001558092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006471321,"about_ca_system_score_gemma":0.00001817339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001049257,"about_ca_topic_score_gemma":0.00007660714,"domain_scores_codex":[0.9968031,0.0001200907,0.000343731,0.0008305137,0.0006736119,0.001228949],"domain_scores_gemma":[0.9993733,0.00002568225,0.000047569,0.0003691175,0.000008493885,0.0001758302],"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":[0.00004107374,0.0001290865,0.3037112,0.000003560894,0.000003224206,0.00009889577,0.0005527157,0.00000148854,0.6896533,0.000007191617,0.00000537558,0.00579292],"study_design_scores_gemma":[0.0006568453,0.0004356075,0.1664362,0.00002215464,0.000005871138,0.0001358421,0.0001411563,0.0002443061,0.8313836,0.0002579072,0.00008039676,0.0002000683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987578,0.00001322614,0.00002507309,0.0004393006,0.00008442267,0.0005003265,0.000006662986,0.00004756092,0.0001255619],"genre_scores_gemma":[0.9982785,0.00002088406,0.001123955,0.0000213161,0.00007128851,0.0000632065,0.00002466557,0.00002005397,0.0003761367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1417304,"threshold_uncertainty_score":0.9998909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558214584997476,"score_gpt":0.2815712831026845,"score_spread":0.2659891372527097,"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."}}