{"id":"W4388177794","doi":"10.1016/j.watres.2023.120796","title":"A pilot study of situ sludge fermentation-driven multiple biological nitrogen removal pathways (SFBNR): Revealing microbial synergy mechanism based on co-occurrence network analysis","year":2023,"lang":"en","type":"article","venue":"Water Research","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"Key Technology Research and Development Program of Shandong; Beijing Science and Technology Planning Project; Natural Science Foundation of Beijing Municipality; Natural Science Foundation of Fujian Province","keywords":"Anammox; Denitrification; Activated sludge; Sewage treatment; Wastewater; Nitrogen cycle; Resource recovery; Pulp and paper industry; Denitrifying bacteria; Nitrogen; Chemistry; Environmental chemistry; Environmental engineering; Environmental science","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":[0.0002666128,0.0003680226,0.0005242737,0.0001714628,0.0002970505,0.0002686426,0.0002839548,0.000428345,0.0005359161],"category_scores_gemma":[0.0002205529,0.0001180449,0.0005135126,0.0002345865,0.0001550756,0.0002937885,0.0002895689,0.0004207591,0.0001052723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000281471,"about_ca_system_score_gemma":0.0003542872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003309903,"about_ca_topic_score_gemma":0.004362088,"domain_scores_codex":[0.999795,0.00002912767,0.000009772901,0.00006882264,0.00006445791,0.00003277837],"domain_scores_gemma":[0.9998502,0.00004246401,0.00002357479,0.00001309673,0.00003641649,0.00003423667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002069731,0.0001693669,0.0007776355,0.00004963913,0.000007704336,0.00006894372,0.00001658928,0.000474613,0.996685,0.00003009746,0.00002109651,0.001492418],"study_design_scores_gemma":[0.00005009046,0.002744507,0.01338309,0.000004888466,0.00004129727,0.0001340912,0.0001345059,0.01819071,0.9645491,0.00008339112,0.0006634861,0.0000207791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981528,0.00005609246,0.001321178,0.00002255845,0.000008945824,0.00003307903,0.0001619437,0.00001821384,0.0002252067],"genre_scores_gemma":[0.9959871,0.0001229237,0.003167571,0.00001551037,0.000004262778,0.0000326979,0.0001500158,0.000006690194,0.0005131504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003309903,"threshold_uncertainty_score":0.006581306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1037893820261115,"score_gpt":0.3209702506921551,"score_spread":0.2171808686660437,"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."}}