{"id":"W2133008790","doi":"10.1109/mwscas.2007.4488605","title":"A graphical transform for subexpression elimination using genetic algorithms","year":2007,"lang":"en","type":"article","venue":"Conference proceedings","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":"Multiplication (music); Computer science; Algorithm; Arithmetic; Multiplier (economics); Genetic algorithm; Parallel computing; Mathematics","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":[0.0003124571,0.0001213043,0.0001042533,0.0001658061,0.0001197481,0.000352854,0.0003670016,0.00006077321,0.000005508783],"category_scores_gemma":[0.00002826833,0.0001145271,0.00005281991,0.0002890735,0.00003238317,0.001203978,0.00004181211,0.00005949842,0.000002694597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003853353,"about_ca_system_score_gemma":0.00004542931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006058933,"about_ca_topic_score_gemma":0.000001160185,"domain_scores_codex":[0.9988705,0.000002331449,0.0002566657,0.0003132959,0.0002393388,0.0003178948],"domain_scores_gemma":[0.9993728,0.00003213245,0.00008054744,0.0000735004,0.0003394471,0.0001015359],"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":[0.00003486855,0.00006723873,0.0003735678,0.00007613419,0.000009157557,0.00000167903,0.002924167,8.297471e-7,0.1535719,0.0979061,0.0002324253,0.7448019],"study_design_scores_gemma":[0.001745369,0.0007880972,0.01713142,0.0001774609,0.00003196142,0.00006474453,0.0007289275,0.4830263,0.3719806,0.1203166,0.003296095,0.0007124766],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05891132,0.00001276469,0.9389462,0.0003173817,0.0001282579,0.000402696,0.000002462989,0.00009899141,0.00117995],"genre_scores_gemma":[0.8332673,0.000004075995,0.1664965,0.0001021936,0.00005214825,0.00002212669,0.000004278273,0.000007364426,0.00004400394],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.774356,"threshold_uncertainty_score":0.4670278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06263427871372894,"score_gpt":0.3175139032022123,"score_spread":0.2548796244884833,"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."}}