{"id":"W4385715307","doi":"10.1002/wer.10917","title":"Sidestream bio‐P and mainstream anammox in a BNR process with upstream carbon capture","year":2023,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Hampton Roads Sanitation District; Human Resources and Skills Development Canada; Cornell University; Water Research Foundation","keywords":"Anammox; Effluent; Denitrification; Chemistry; Phosphorus; Nitrite; Pulp and paper industry; Environmental chemistry; Enhanced biological phosphorus removal; Sequencing batch reactor; Aeration; Carbon fibers; Nitrogen; Environmental engineering; Activated sludge; Nitrate; Environmental science; Sewage treatment; Denitrifying bacteria; Organic chemistry; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006145865,0.0002760909,0.0002191536,0.0002468503,0.0001624274,0.0000716639,0.0002638159,0.000117097,0.0004667731],"category_scores_gemma":[0.000005227652,0.0001686805,0.00003082845,0.0004518388,0.0005752963,0.0001733318,0.0004332661,0.0003245092,0.0008559974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002857117,"about_ca_system_score_gemma":0.00001107411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002059578,"about_ca_topic_score_gemma":0.0005371286,"domain_scores_codex":[0.996895,0.000150722,0.0002021865,0.0007476248,0.0009147132,0.001089825],"domain_scores_gemma":[0.9993064,0.00004008621,0.00002209385,0.0004024311,0.000004225717,0.0002247635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001782624,0.0003231064,0.9526689,0.00003535984,0.00003602703,0.0008775328,0.003411039,0.001208385,0.03791425,0.00000444537,0.0001371199,0.003205593],"study_design_scores_gemma":[0.00472118,0.001543784,0.4945491,0.000135768,0.00005956676,0.0001749905,0.004950546,0.002670452,0.4822668,0.002214842,0.00545105,0.001261941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951577,0.00003424006,5.453194e-7,0.000700064,0.00001230968,0.0006012114,0.00000661918,0.00006047352,0.003426806],"genre_scores_gemma":[0.9944567,0.0001143238,0.0001971789,0.00001433999,0.00002467747,0.0001724918,0.00006446919,0.00004176788,0.004914038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4581198,"threshold_uncertainty_score":0.999922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038290009444224,"score_gpt":0.2632282718567215,"score_spread":0.2428453717622793,"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."}}