{"id":"W2169100266","doi":"10.1002/cjce.21785","title":"Optimisation of the operational parameters during a biological nitrification process using response surface methodology","year":2013,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tarbiat Modares University","keywords":"Ammonium; Response surface methodology; Nitrification; Ammonium chloride; Chemistry; Sodium bicarbonate; Wastewater; Volume (thermodynamics); Ammonium bicarbonate; Central composite design; Ammonia; Volumetric flow rate; Nuclear chemistry; Pulp and paper industry; Chromatography; Inorganic chemistry; Environmental engineering; Nitrogen; Environmental science; Biochemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00124931,0.0008938484,0.001083427,0.0002609939,0.0002111889,0.0008773525,0.0004686161,0.0007553599,0.0003056967],"category_scores_gemma":[0.001000497,0.0003238049,0.0005869986,0.0003546222,0.0003326084,0.000480992,0.0003582829,0.000606249,0.0002466121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004002149,"about_ca_system_score_gemma":0.0004987433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000786521,"about_ca_topic_score_gemma":0.001184252,"domain_scores_codex":[0.9990082,0.0002893798,0.0001008144,0.0001517818,0.0003452771,0.0001044677],"domain_scores_gemma":[0.9996693,0.0001502525,0.0000776025,0.00002286855,0.00005984493,0.00002019983],"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":[0.0001520705,0.00009409058,0.0002544243,0.0001090964,0.00001067404,0.00002031559,0.00001799384,0.001323901,0.9954643,0.00001684936,0.000009788963,0.002526593],"study_design_scores_gemma":[0.00001647394,0.0005603903,0.001697071,0.000008349917,0.00002470095,0.00003739968,0.00003317877,0.004325053,0.9929122,0.00003308758,0.0003369537,0.00001508722],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740589,0.0009860235,0.02396148,0.00008323878,0.00003178894,0.0001534322,0.00012968,0.0001099839,0.0004855249],"genre_scores_gemma":[0.975497,0.000713208,0.02293086,0.00004144205,0.000008259995,0.0001338526,0.0001665314,0.00002859099,0.0004802127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00124931,"threshold_uncertainty_score":0.006607056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04160975743953098,"score_gpt":0.2321336810649636,"score_spread":0.1905239236254326,"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."}}