{"id":"W2132026137","doi":"10.1109/cca.1998.721608","title":"A case study of multi-objective control: synthesis and analysis","year":2002,"lang":"en","type":"article","venue":"","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Robustness (evolution); Control theory (sociology); Robust control; Benchmark (surveying); Aerospace; Computer science; Control engineering; Control system; Stability (learning theory); Optimal control; Engineering; Mathematical optimization; Control (management); 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":[0.0001333565,0.00009337212,0.0003567556,0.0001293514,0.00002911198,0.00001226747,0.00004057158,0.00003437929,0.0001078754],"category_scores_gemma":[0.0000550838,0.00007829936,0.00007071687,0.0002703863,0.00001956015,0.00004983779,0.000006452036,0.00004198969,0.000002645137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001810223,"about_ca_system_score_gemma":9.71007e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001373816,"about_ca_topic_score_gemma":0.002267008,"domain_scores_codex":[0.9994078,0.00006053964,0.0002149616,0.0001296027,0.00008390653,0.0001032049],"domain_scores_gemma":[0.9993549,0.0003492186,0.00002311099,0.0001886162,0.00003999361,0.00004413832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001018209,0.002680168,0.6298199,0.000271118,0.02435619,0.002043272,0.05360536,0.2311031,0.001653243,0.0000939996,0.0001107006,0.05416117],"study_design_scores_gemma":[0.001356087,0.00008655796,0.008426808,0.000003065239,0.000926142,0.00006619863,0.01696147,0.9719623,0.00008034128,0.000001550159,0.000008864934,0.0001206047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915373,0.0003524904,0.006740388,0.000006418088,0.00002488542,0.0002746856,0.000009009832,0.00008248362,0.0009723219],"genre_scores_gemma":[0.9997994,0.000004438301,0.00008170502,0.000005036975,0.000009391397,0.00005203081,6.408685e-8,0.000007219595,0.00004076198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7408592,"threshold_uncertainty_score":0.3192955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02222582009341701,"score_gpt":0.2218801665051942,"score_spread":0.1996543464117772,"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."}}