{"id":"W159335763","doi":"10.2175/106143011x13176499923775","title":"N<sub>2</sub>O Emissions: Modeling the Effect of Process Configuration and Diurnal Loading Patterns","year":2011,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"EnviroSim (Canada)","funders":"","keywords":"Environmental science; Nitrite; Ammonia; Oxidizing agent; Nitrification; Environmental engineering; Activated sludge; Environmental chemistry; Chemistry; Sewage treatment; Nitrate; Nitrogen","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":[0.0004026222,0.0006446153,0.0005274211,0.0002019961,0.0003945912,0.0006170139,0.0006723246,0.001037573,0.0006536524],"category_scores_gemma":[0.001008624,0.0003552736,0.0006825455,0.0002789778,0.0003277389,0.0007214305,0.000314692,0.0003363138,0.0001146418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089935,"about_ca_system_score_gemma":0.0007734188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02184003,"about_ca_topic_score_gemma":0.01537137,"domain_scores_codex":[0.999863,0.00004110142,0.000007329212,0.00003765482,0.00002237415,0.00002856498],"domain_scores_gemma":[0.9995011,0.0003363297,0.00007464016,0.00002537475,0.00004172138,0.00002092115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005197673,0.00007088304,0.00270789,0.00001988657,0.0000106709,0.00003736229,0.0000158866,0.9920934,0.00341703,0.0001455548,0.00003393793,0.001395508],"study_design_scores_gemma":[0.00001083962,0.00004631461,0.001203433,0.000001273856,0.000006245124,0.000009217883,0.0000124251,0.9971126,0.001393213,0.0001401841,0.00005912701,0.000004987811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771705,0.00009056088,0.01958953,0.00009285684,0.00001025617,0.00005975099,0.0001956273,0.00009023155,0.002700734],"genre_scores_gemma":[0.9958151,0.00007976318,0.003336231,0.00001533977,0.00000310834,0.0000565611,0.00006513875,0.00001363208,0.000615117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02184003,"threshold_uncertainty_score":0.0434258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03854121275993139,"score_gpt":0.2718680398188866,"score_spread":0.2333268270589552,"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."}}