{"id":"W4411726178","doi":"10.1109/iscas56072.2025.11044077","title":"Enhancing Common Subexpression Elimination Algorithms","year":2025,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Algorithm","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":[0.0008997225,0.0007638966,0.0006943322,0.001417594,0.0005072709,0.001004238,0.001311688,0.0005465462,0.004217426],"category_scores_gemma":[0.003274182,0.000269602,0.0006658251,0.001365267,0.000483625,0.001629289,0.001004572,0.0008789008,0.001440376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005205419,"about_ca_system_score_gemma":0.001465591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001531159,"about_ca_topic_score_gemma":0.003283482,"domain_scores_codex":[0.9989392,0.0001697824,0.00008483887,0.000179053,0.0004708335,0.0001562637],"domain_scores_gemma":[0.9983636,0.0005731164,0.000125251,0.0003146027,0.0005794221,0.00004406496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003294721,0.0001503425,0.001822039,0.0002296445,0.00006792261,0.000285358,0.0002018855,0.04128002,0.05978699,0.03467973,0.00502482,0.8561417],"study_design_scores_gemma":[0.0001623715,0.000495642,0.001757084,0.00006601448,0.0001312265,0.001314679,0.000145819,0.7009168,0.2068669,0.03988121,0.04820358,0.00005870928],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06923041,0.0007657442,0.9218701,0.0001995278,0.000105708,0.00008887529,0.00007874049,0.001598423,0.006062557],"genre_scores_gemma":[0.2955143,0.000484042,0.6925266,0.0003211135,0.00008470951,0.00009443406,0.000351796,0.0003180825,0.01030484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004217426,"threshold_uncertainty_score":0.01410866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009388838050406426,"score_gpt":0.2792616238983368,"score_spread":0.2698727858479303,"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."}}