{"id":"W2098036470","doi":"10.1109/cdc.1994.410948","title":"A uniform high-gain compensator for multivariable systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Multivariable calculus; Control theory (sociology); Simple (philosophy); Zero (linguistics); Property (philosophy); Type (biology); Mathematics; Control system; Computer science; Order (exchange); Topology (electrical circuits); Control (management); Control engineering; Engineering; Combinatorics; Artificial intelligence; Philosophy","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":[0.0002673666,0.0003516771,0.0002821476,0.0002872972,0.0003164888,0.0004867398,0.0005325551,0.0004249843,0.003058545],"category_scores_gemma":[0.0006132092,0.0001202498,0.0002332255,0.0002919334,0.0002759747,0.0005959899,0.0004637073,0.0005404546,0.0006557229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001846343,"about_ca_system_score_gemma":0.000269247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004493542,"about_ca_topic_score_gemma":0.0007914064,"domain_scores_codex":[0.9997947,0.00003075793,0.00001317809,0.00006065286,0.00007790723,0.00002274517],"domain_scores_gemma":[0.999874,0.00002708968,0.00002359854,0.0000273002,0.00003912031,0.000008926288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003639896,0.00008430937,0.0006314116,0.0007967007,0.00008889215,0.0003854386,0.000216666,0.08007879,0.3274017,0.1423216,0.005961919,0.4416685],"study_design_scores_gemma":[0.0001634169,0.001113726,0.002271656,0.0001180816,0.0001407048,0.0009198675,0.00004812528,0.735623,0.1271756,0.02560947,0.1067145,0.0001017906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009320009,0.0005155926,0.9846305,0.00007861943,0.0001422901,0.00003212316,0.00005025231,0.00109347,0.004137103],"genre_scores_gemma":[0.7923259,0.0009584962,0.1938801,0.0003108495,0.0002877639,0.0001227533,0.0002587166,0.0001251529,0.01173025],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003058545,"threshold_uncertainty_score":0.01023185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01754465276114783,"score_gpt":0.1914398950539725,"score_spread":0.1738952422928246,"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."}}