{"id":"W2102586371","doi":"10.1109/acc.2008.4587011","title":"LQG benchmarking for economic control performance","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Linear-quadratic-Gaussian control; Benchmark (surveying); Benchmarking; Control (management); Process (computing); Optimal control; Process control; Variance (accounting); Computer science; Control theory (sociology); Mathematical optimization; Control engineering; Engineering; Economics; Mathematics; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.00004326035,0.00008124901,0.0001219717,0.00003370674,0.00006511737,0.000006542641,0.0000548021,0.00003468241,0.00004582652],"category_scores_gemma":[0.000003423537,0.00008305475,0.000033156,0.00001661207,0.000008904091,0.0001892527,0.000002930195,0.00003003294,0.00004470019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008449869,"about_ca_system_score_gemma":0.000008260326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002934094,"about_ca_topic_score_gemma":0.000006011795,"domain_scores_codex":[0.9995667,0.000002939325,0.0001540713,0.00008824446,0.00002917604,0.0001588512],"domain_scores_gemma":[0.9997953,0.00004205971,0.00001925802,0.0001016517,0.00001239915,0.00002930389],"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":[0.000006945041,0.000001207072,0.0009676744,0.00001585646,0.00001505149,2.319267e-7,0.00002252982,0.9913704,0.0001841854,0.000284108,0.0004306082,0.006701136],"study_design_scores_gemma":[0.0008007375,0.00002099004,0.0004255192,0.000004392869,0.000003972528,0.000008317105,0.000003296094,0.9918846,0.0002269872,0.00001469807,0.006500789,0.0001056963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03942759,0.0001017634,0.9499283,0.00001435598,0.0004073005,0.0003272576,0.000005379365,0.0002944183,0.009493636],"genre_scores_gemma":[0.9906174,0.00004743079,0.00866889,0.00003016741,0.0002388661,0.00009377935,0.000005639839,0.00002354992,0.0002743057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9511898,"threshold_uncertainty_score":0.3386874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006367905168938811,"score_gpt":0.1709741169881221,"score_spread":0.1646062118191833,"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."}}