{"id":"W1947983613","doi":"10.1109/iscas.2001.921150","title":"A novel approach based on genetic algorithm for pipelining of recursive filters","year":2002,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Software pipelining; Computer science; Infinite impulse response; Parallel computing; Algorithm; Recursion (computer science); Genetic algorithm; Arithmetic; Digital filter; Filter (signal processing); Mathematics; Software","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":[0.00008174722,0.00008121923,0.00009272341,0.00009252394,0.00002910975,0.00006536421,0.0002943439,0.00001984291,0.00002333418],"category_scores_gemma":[0.00002094813,0.000072772,0.00005752849,0.00016967,0.00001438979,0.000207956,0.00002620378,0.000024214,0.000008216796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001554265,"about_ca_system_score_gemma":0.00001155631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000049466,"about_ca_topic_score_gemma":1.185669e-7,"domain_scores_codex":[0.9992488,0.00001025908,0.0001891319,0.0002291412,0.0001663075,0.0001563737],"domain_scores_gemma":[0.9994964,0.00008994446,0.00006820082,0.0002240799,0.00007786608,0.00004349384],"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":[0.000003302626,0.0001615858,0.000006591394,0.00001315484,0.00000825112,3.978601e-7,0.0003352136,0.0006004089,0.0006338542,0.004219369,0.004501371,0.9895165],"study_design_scores_gemma":[0.0007185759,0.0003365437,0.0000848635,0.000009624474,0.000003220982,0.000001998016,0.00004051167,0.9934174,0.004330701,0.0003215074,0.0006405804,0.0000944372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006066845,0.000005661443,0.9863964,0.0001915435,0.00008469834,0.0002563855,0.00001615148,0.000037951,0.01295054],"genre_scores_gemma":[0.02924948,6.974959e-7,0.9693069,0.0009023208,0.00002646824,0.000034179,0.000009225651,0.000006196667,0.0004645121],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.992817,"threshold_uncertainty_score":0.2967556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06586248144614683,"score_gpt":0.2616713027533152,"score_spread":0.1958088213071684,"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."}}