{"id":"W2097695714","doi":"10.1109/isscs.2007.4292680","title":"Multiplierless Evolutionary Filter Design","year":2007,"lang":"en","type":"article","venue":"","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Infinite impulse response; Adder; Computer science; Evolvable hardware; 2D Filters; Network topology; Evolutionary algorithm; Digital filter; Filter (signal processing); Genetic algorithm; Field-programmable gate array; Finite impulse response; Algorithm; Computer hardware; Artificial intelligence","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":[0.0002974696,0.00007458341,0.00005554287,0.00006541398,0.0001754689,0.00002967803,0.0004872191,0.00003974805,0.00006316959],"category_scores_gemma":[0.000008602578,0.00006595017,0.00003549373,0.0003102628,0.00003333215,0.0003132853,0.0001230099,0.00006586659,0.0003329724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003842256,"about_ca_system_score_gemma":0.00003704086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000115061,"about_ca_topic_score_gemma":0.000001714775,"domain_scores_codex":[0.9992039,0.00001569027,0.0001493003,0.0002419436,0.0001605741,0.0002285505],"domain_scores_gemma":[0.9992983,0.0001477913,0.00002788651,0.0003711388,0.00006542177,0.00008941909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005947043,0.000274648,0.0006980294,0.000003214214,0.00001397819,0.00001673747,0.0002532775,0.00114073,0.0023574,0.8831556,0.03727418,0.07480619],"study_design_scores_gemma":[0.0005770304,0.00007984434,0.1198294,0.000008866507,0.000004689252,0.0001102047,0.00005976332,0.7115183,0.005149516,0.0590482,0.1030969,0.0005172899],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004567619,0.00007909935,0.9888321,0.0008948233,0.0001105421,0.0001312604,8.207135e-7,0.0002400711,0.009254513],"genre_scores_gemma":[0.2097207,0.000003910945,0.7875693,0.0003384601,0.00008203681,0.00001658031,0.00000217171,0.000003865402,0.002262954],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8241075,"threshold_uncertainty_score":0.4279797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02722964004942626,"score_gpt":0.2588774270384123,"score_spread":0.231647786988986,"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."}}