{"id":"W3016788023","doi":"10.2166/wst.2020.174","title":"Assessment of aeration control strategies for biofilm-based partial nitritation/anammox systems","year":2020,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Setpoint; Aeration; Anammox; Environmental science; Environmental engineering; Ammonia; Denitrification; Chemistry; Nitrogen; Waste management; Computer science; Engineering","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":[0.0005408012,0.0004578688,0.0005067925,0.000212203,0.0002244876,0.0004803556,0.0003725247,0.0003105797,0.000341378],"category_scores_gemma":[0.0005643072,0.0001082544,0.0003616864,0.0001490905,0.0001390268,0.0003199214,0.0003615053,0.0003017356,0.00005488242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007015694,"about_ca_system_score_gemma":0.000395267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006569519,"about_ca_topic_score_gemma":0.005648887,"domain_scores_codex":[0.9996626,0.00006490452,0.00003568154,0.00006206867,0.0001310817,0.00004363005],"domain_scores_gemma":[0.9997255,0.0000813389,0.00005594911,0.00001670237,0.00009507041,0.00002541278],"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":[0.00112356,0.0006823787,0.004870033,0.0003413947,0.00005874359,0.00005409484,0.00005640014,0.02835662,0.9397771,0.00009443453,0.00007087561,0.02451446],"study_design_scores_gemma":[0.0001042977,0.009650211,0.02102025,0.00002602424,0.0001391631,0.00007071484,0.0001545606,0.1186858,0.848847,0.0001010337,0.001162243,0.00003867507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975455,0.0002307858,0.001894524,0.00001954553,0.000007516124,0.00002656203,0.00004216789,0.00001762079,0.0002157371],"genre_scores_gemma":[0.9978332,0.0001532267,0.001823026,0.00000581682,0.000001666819,0.00001629885,0.00004657446,0.000002203033,0.0001180552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006569519,"threshold_uncertainty_score":0.01306254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498787819751507,"score_gpt":0.2511976087047075,"score_spread":0.2362097305071925,"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."}}