{"id":"W2132118388","doi":"10.1109/iscas.2007.378523","title":"On Frequency-Weighted l2-Sensitivity Analysis and Minimization of 2-D State-Space Digital Filters Subject to l2-Scaling Constraints","year":2007,"lang":"en","type":"article","venue":"","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Sensitivity (control systems); Scaling; Minification; Extension (predicate logic); Algorithm; Derivative (finance); Computer science; Mathematics; Mathematical optimization; Engineering","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":[0.0003935185,0.0001520952,0.0003298435,0.0002843666,0.00003033478,0.0000485558,0.00004578273,0.00006574501,0.00004004243],"category_scores_gemma":[0.0001306189,0.0001431497,0.00009021242,0.0005746938,0.00006756462,0.0001347311,0.00001109052,0.00006819214,0.00000501838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006700856,"about_ca_system_score_gemma":0.00001264391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001994301,"about_ca_topic_score_gemma":0.0005521089,"domain_scores_codex":[0.9989842,0.00003223456,0.0003349837,0.0002149801,0.0001984452,0.0002351316],"domain_scores_gemma":[0.9989817,0.0005745441,0.00004458541,0.0001922527,0.00008302611,0.0001238744],"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":[0.0008238645,0.0003451085,0.2437267,0.0005026819,0.004380473,0.0001490667,0.009672686,0.4790926,0.1062068,0.005642358,0.0003501952,0.1491075],"study_design_scores_gemma":[0.003474382,0.0005404165,0.3189612,0.0002795397,0.0006918589,0.00002290263,0.005150239,0.5445833,0.1228781,0.001349286,0.0001607282,0.001908136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6755295,0.00001687802,0.3203092,0.00002976958,0.00005703544,0.0001408781,0.00004854118,0.00008171373,0.003786576],"genre_scores_gemma":[0.9986182,0.000002463269,0.001260757,0.00003259807,0.00001642049,0.000002368608,0.00001770637,0.0000124069,0.00003703528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3230888,"threshold_uncertainty_score":0.5837477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005780734800077746,"score_gpt":0.2048012874924646,"score_spread":0.1990205526923869,"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."}}