{"id":"W1500244119","doi":"10.1109/iscas.2015.7169116","title":"Weighted pole and zero sensitivity minimization for state-space digital filters","year":2015,"lang":"en","type":"article","venue":"","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Sensitivity (control systems); Measure (data warehouse); Mathematics; Minification; Transformation (genetics); Zero (linguistics); Pole–zero plot; Control theory (sociology); State space; Computer science; Mathematical optimization; Algorithm; Transfer function; Artificial intelligence; Engineering; Electronic 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":[0.00003429426,0.00006615743,0.00007084404,0.00001605639,0.00003768919,0.0000671983,0.00001322843,0.00001351334,0.00002433837],"category_scores_gemma":[0.000002366595,0.0000558042,0.00002412658,0.00003872599,0.00002038838,0.0001840542,0.00001537032,0.00002875327,0.000005069133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005552035,"about_ca_system_score_gemma":0.00001423552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003005298,"about_ca_topic_score_gemma":0.000001388341,"domain_scores_codex":[0.999651,0.00001090132,0.00006497145,0.0001195702,0.000048144,0.0001054699],"domain_scores_gemma":[0.9997427,0.00002962112,0.00002706311,0.00005665702,0.00004651532,0.00009739688],"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":[0.0006256265,0.0004853982,0.03066348,0.00003069755,0.0002219014,0.000003304915,0.001888847,0.01615191,0.001710236,0.06347127,0.4191712,0.4655761],"study_design_scores_gemma":[0.002780054,0.0001948166,0.0005034655,0.0000156786,0.00002879511,0.000004845117,0.0009159697,0.8856339,0.01143186,0.02734227,0.07059713,0.0005512467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3611251,0.000006331115,0.6314515,0.0006143646,0.0001321302,0.0001660621,0.00004889243,0.00003443708,0.006421184],"genre_scores_gemma":[0.9931041,6.433021e-7,0.001168271,0.00004728067,0.00009380761,0.000005320929,0.00007492601,0.000007438912,0.005498208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.869482,"threshold_uncertainty_score":0.2275629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051616532250327,"score_gpt":0.2414172956493124,"score_spread":0.2209011303268092,"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."}}