{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001657314,0.0002540615,0.0003965286,0.0003863697,0.0004997501,0.00006894,0.0005478954,0.00006784864,0.0008168289],"category_scores_gemma":[0.00004301493,0.0001758103,0.0001627647,0.001643691,0.0001946039,0.00009158421,0.0004613102,0.000278758,0.0008339745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002092782,"about_ca_system_score_gemma":0.00001982047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001100706,"about_ca_topic_score_gemma":0.0003642369,"domain_scores_codex":[0.9957728,0.0009976164,0.0004394665,0.0007658191,0.001037293,0.0009869785],"domain_scores_gemma":[0.9990351,0.0001591137,0.00007246605,0.0005068196,0.00004275143,0.0001837022],"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":[0.0006232429,0.001233861,0.1033193,0.000009718063,0.0002689362,0.000279696,0.0009565406,0.01833924,0.8740126,0.00001018858,0.0008144851,0.0001321968],"study_design_scores_gemma":[0.004898916,0.009697488,0.03191571,0.00004990677,0.0002773945,0.00001012045,0.001413064,0.02721899,0.9224542,0.001160155,0.000195102,0.000708912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985656,0.000003526835,0.0000580682,0.00005706967,0.00007351083,0.0008408068,0.0001149834,0.00008486549,0.0002016288],"genre_scores_gemma":[0.997726,0.000006552477,0.001027899,0.00003065675,0.00006311755,0.0001163518,0.0008376004,0.00002048842,0.0001713968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07140354,"threshold_uncertainty_score":0.999944,"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."}}