{"id":"W4248426926","doi":"10.1109/ccece.2018.8447836","title":"IIR Filter Design Using Multiobjective Artificial Bee Colony Algorithm","year":2018,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Infinite impulse response; Artificial bee colony algorithm; Mathematical optimization; Convergence (economics); Computer science; Filter (signal processing); Passband; Algorithm; Global optimization; Mathematics; Digital filter; Engineering; Band-pass filter","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007922574,0.000163084,0.0001863377,0.0002427081,0.0003365451,0.0003496799,0.000780814,0.00008645083,0.001074219],"category_scores_gemma":[0.0003021841,0.0001469274,0.00005233635,0.0008460224,0.0001983501,0.0005021981,0.0003774998,0.0001493167,0.0006479603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001054224,"about_ca_system_score_gemma":0.0002510267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009126747,"about_ca_topic_score_gemma":0.000006282751,"domain_scores_codex":[0.9977946,0.0003107844,0.0003052297,0.0005492279,0.0005720711,0.0004680789],"domain_scores_gemma":[0.9983332,0.0002666311,0.00008131012,0.0004531482,0.0006909678,0.0001747639],"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":[0.00006995527,0.0006535116,0.0000489618,0.00001415325,0.0001779268,0.0001291329,0.003680936,0.01075927,0.01473438,0.01791255,0.01734534,0.9344739],"study_design_scores_gemma":[0.0002212304,0.0001642383,0.00006383548,0.000004749673,0.000004912294,0.00001790882,0.00001942025,0.9686295,0.0279774,0.001757334,0.0009566509,0.0001827519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001875296,0.00000933843,0.996087,0.0002707208,0.0004742572,0.0004043716,0.000004061124,0.0001978615,0.00236488],"genre_scores_gemma":[0.00532893,0.000002234415,0.992065,0.0003466218,0.0003717148,0.00001833587,0.000001333886,0.00001628492,0.001849592],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9578703,"threshold_uncertainty_score":0.9998389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09843313491562941,"score_gpt":0.3416223917468706,"score_spread":0.2431892568312412,"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."}}