{"id":"W1989955747","doi":"10.3182/20110828-6-it-1002.00881","title":"A Robust Dynamic Feasibility Analysis for the Simultaneous Design and Control of Dynamic Systems under Uncertainty","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Realization (probability); Control theory (sociology); Control engineering; Process (computing); Key (lock); Robust control; Engineering; Computer science; Control system; Control (management); Mathematical optimization; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005037229,0.002269249,0.001783917,0.001254034,0.000824305,0.00220481,0.001532498,0.001978228,0.00895102],"category_scores_gemma":[0.01166333,0.001726825,0.002171623,0.0009506394,0.0018235,0.002871545,0.003125784,0.002599615,0.001113496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007915806,"about_ca_system_score_gemma":0.001940872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001828077,"about_ca_topic_score_gemma":0.0009135968,"domain_scores_codex":[0.9977546,0.0008903589,0.00009227966,0.0003105307,0.0007621842,0.0001900363],"domain_scores_gemma":[0.995337,0.003663379,0.000268681,0.0001460314,0.0004953523,0.00008958975],"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":[0.000526533,0.0001056696,0.0002066923,0.0005300216,0.0001572967,0.0003111873,0.0001973868,0.730718,0.01060703,0.192869,0.003064725,0.0607065],"study_design_scores_gemma":[0.00003797629,0.0001672805,0.00009078372,0.00003327992,0.00002904488,0.00004302949,0.00001937478,0.9574347,0.0012241,0.03938669,0.00151002,0.00002380131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002455739,0.000201438,0.9934128,0.0001919096,0.00003040566,0.00004918846,0.00003330703,0.00005974222,0.003565607],"genre_scores_gemma":[0.6108794,0.001159838,0.3756598,0.0003195599,0.0003428103,0.001093306,0.0003194941,0.0002604958,0.009965287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00895102,"threshold_uncertainty_score":0.02994412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02412762820758027,"score_gpt":0.2232406888455523,"score_spread":0.1991130606379721,"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."}}