{"id":"W4410511364","doi":"10.3390/math13101674","title":"Economic Model Predictive Control for Wastewater Treatment Processes Based on Global Maximum Error POD-TPWL","year":2025,"lang":"en","type":"article","venue":"Mathematics","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China","keywords":"Point of delivery; Wastewater; Sewage treatment; Environmental science; Econometrics; Statistics; Mathematics; Environmental engineering; Biology; Agronomy","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":[0.0005011186,0.0006264044,0.0006319589,0.0003022948,0.0002664558,0.0006781061,0.0007751543,0.0003775058,0.0009211058],"category_scores_gemma":[0.0008466379,0.0002729144,0.0004846303,0.0003647344,0.00049643,0.0005414511,0.0008349968,0.0008084167,0.0001384442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004166172,"about_ca_system_score_gemma":0.0007485638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005071833,"about_ca_topic_score_gemma":0.003948871,"domain_scores_codex":[0.9997918,0.00005412123,0.000009804674,0.00003671859,0.00008427668,0.0000233224],"domain_scores_gemma":[0.9997981,0.00008911352,0.00003528959,0.00001999535,0.00004811657,0.000009419981],"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":[0.00002510444,0.00001553543,0.0002356911,0.00005278011,0.00001508028,0.00002389081,0.0000201621,0.9718884,0.001675968,0.004397812,0.0002224594,0.02142706],"study_design_scores_gemma":[0.000001496869,0.00000804826,0.00002293698,9.868843e-7,0.000001073011,0.0000015588,0.000001244907,0.9992806,0.000195762,0.0003745099,0.0001108087,9.60762e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01013457,0.0001291338,0.9878575,0.00006014993,0.00002120069,0.000019911,0.00001836128,0.0001621727,0.001596947],"genre_scores_gemma":[0.8924582,0.0002642836,0.1048043,0.00005199182,0.00002713839,0.0001392718,0.0001095318,0.00004931404,0.002095974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005071833,"threshold_uncertainty_score":0.01008457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009580531922222201,"score_gpt":0.2386480740124452,"score_spread":0.229067542090223,"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."}}