{"id":"W4392905658","doi":"10.32920/25413844.v1","title":"Toward More Efficient and Sustainable Autotrophic Ammonia Removal From Wastewater","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anammox; Autotroph; Environmental science; Nitrification; Ammonia; Sewage treatment; Ammonia production; Wastewater; Greenhouse gas; Denitrification; Environmental engineering; Chemistry; Environmental chemistry; Nitrogen; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002645625,0.0003867311,0.0004287245,0.0002721006,0.0002696688,0.00125081,0.0003213606,0.0004838827,0.002054164],"category_scores_gemma":[0.0001608155,0.0003027811,0.0004309934,0.0003869997,0.0001596263,0.000785114,0.0005079798,0.0007084096,0.0009251504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005062215,"about_ca_system_score_gemma":0.0007524234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008077498,"about_ca_topic_score_gemma":0.002576191,"domain_scores_codex":[0.9998291,0.00002132176,0.00001338799,0.00004563819,0.00006867968,0.00002192791],"domain_scores_gemma":[0.9999368,0.00001363054,0.00001373965,0.000008391887,0.00002245049,0.000005067197],"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":[0.00004386349,0.0001366695,0.0004423526,0.001097199,0.00002160057,0.00009497374,0.0001734556,0.005475109,0.9107547,0.003537093,0.0009272021,0.07729579],"study_design_scores_gemma":[0.00001509991,0.0002802215,0.001622425,0.0001538225,0.00003226978,0.0001132954,0.0001729913,0.01749176,0.9196234,0.002019707,0.05845084,0.00002426467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7588515,0.02430084,0.1523086,0.001553201,0.0004320052,0.0004418569,0.0007971993,0.001326409,0.05998839],"genre_scores_gemma":[0.7339302,0.04855797,0.1498824,0.0006292769,0.0001292021,0.0004029339,0.0007516096,0.0002527221,0.0654636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002054164,"threshold_uncertainty_score":0.006871819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192848038909992,"score_gpt":0.220128530985448,"score_spread":0.2082000505963481,"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."}}