{"id":"W4412229101","doi":"","title":"Long-term assessment of multi-objective Model Predictive Control of WRRFs","year":2023,"lang":"en","type":"article","venue":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kruger (Canada)","funders":"","keywords":"Term (time); Model predictive control; Computer science; Control (management); Econometrics; Statistics; Artificial intelligence; Mathematics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006484543,0.0005048567,0.001575049,0.0008374356,0.0001635049,0.00000700497,0.001430549,0.0007981535,0.000191737],"category_scores_gemma":[0.0001884848,0.0006616492,0.0006612437,0.001531275,0.001071685,0.0005566007,0.0006051461,0.0007715179,0.00002710539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007070187,"about_ca_system_score_gemma":0.0002506316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001169501,"about_ca_topic_score_gemma":0.0003267328,"domain_scores_codex":[0.9967147,0.0002140029,0.000821887,0.0007115843,0.0009148807,0.0006230097],"domain_scores_gemma":[0.9964705,0.0006648569,0.0007810077,0.0009854345,0.0008060792,0.0002921759],"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":[0.001793811,0.00110889,0.01445995,0.001094782,0.001234644,0.0002280729,0.0004294029,0.8340092,0.1398214,0.00303943,0.0008843577,0.00189616],"study_design_scores_gemma":[0.01027947,0.0009380287,0.1370706,0.0009173287,0.0009646107,0.00002629184,0.001158272,0.8445162,0.002647703,0.0003594985,0.00009906406,0.00102292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09073763,0.0001540669,0.8999816,0.00007677072,0.0001020203,0.001405914,0.0004417174,0.0005622779,0.006537969],"genre_scores_gemma":[0.9758966,0.0005222757,0.02285271,0.000006069651,0.00001650342,0.000001253604,0.00004393057,0.00006024871,0.0006004053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.885159,"threshold_uncertainty_score":0.9995835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197165783932144,"score_gpt":0.2284444684677959,"score_spread":0.2164728106284745,"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."}}