{"id":"W2125168427","doi":"10.1109/isspa.1999.815830","title":"Design of 1-D FIR filters with genetic algorithms","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Finite impulse response; Minimax; Algorithm; Convergence (economics); Ternary operation; Mathematics; Rate of convergence; Filter (signal processing); Genetic algorithm; Computer science; Mathematical optimization; Telecommunications","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":[0.0004974346,0.0004502621,0.0003810877,0.0004639421,0.0002870021,0.0004374539,0.0004906885,0.0008861523,0.0009462404],"category_scores_gemma":[0.001604739,0.0002856587,0.0003886938,0.0003612878,0.0004163478,0.000354309,0.000283529,0.0004522697,0.000263643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004530369,"about_ca_system_score_gemma":0.0005607613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001631703,"about_ca_topic_score_gemma":0.002223834,"domain_scores_codex":[0.9997988,0.0000668147,0.0000119595,0.00004252432,0.00005711826,0.00002289296],"domain_scores_gemma":[0.999686,0.0001945011,0.00003867918,0.00001630981,0.0000561475,0.000008354627],"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":[0.00007234187,0.00004133584,0.0006387153,0.00009940341,0.00004527017,0.00006695496,0.0001133856,0.8029318,0.02063179,0.02077686,0.0005705496,0.1540116],"study_design_scores_gemma":[0.00002497394,0.00005185232,0.0001476721,0.00001628566,0.00001913949,0.00004646909,0.00001247484,0.98468,0.007073237,0.005654767,0.002262361,0.00001088016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01449055,0.0001267911,0.9834175,0.00005515661,0.00001825023,0.0000253103,0.00001167166,0.0002343582,0.00162045],"genre_scores_gemma":[0.1883448,0.0002467205,0.8094746,0.00008069309,0.00001567425,0.0001225872,0.00003372911,0.00003674381,0.001644452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001631703,"threshold_uncertainty_score":0.003287077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777514298197788,"score_gpt":0.2119892731898511,"score_spread":0.1942141302078732,"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."}}