{"id":"W4409916950","doi":"10.1109/tcsii.2025.3565551","title":"Clock Edge Triggering Control in Topology-Based Logic Dynamic Systems Using Matrix Approaches","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Topology (electrical circuits); Matrix (chemical analysis); Computer science; Enhanced Data Rates for GSM Evolution; Control (management); Control theory (sociology); Engineering; Materials science; Electrical engineering; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005689782,0.0006290349,0.001027065,0.001146652,0.0003920379,0.0001815486,0.000526567,0.0005225461,0.00001362722],"category_scores_gemma":[0.000006164566,0.0006749604,0.0002225768,0.0009910717,0.0001169799,0.0003822974,0.000003376932,0.0007522505,0.0000335793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102477,"about_ca_system_score_gemma":0.0001953911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000428164,"about_ca_topic_score_gemma":0.00004445568,"domain_scores_codex":[0.9965739,0.0002839852,0.001142809,0.0007022737,0.000391122,0.0009059634],"domain_scores_gemma":[0.9984894,0.000283815,0.0001419569,0.0008567225,0.00007865686,0.0001493946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000344967,0.0001480535,0.00004573459,0.001250898,0.0001698891,0.00002675892,0.0003195687,0.9699628,0.02678603,0.0005328548,0.00006334425,0.0006596199],"study_design_scores_gemma":[0.003048122,0.0000874301,0.00005175643,0.001251417,0.000139601,0.00005106242,0.0003816094,0.9869672,0.006115331,0.00001248905,0.00119554,0.000698433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1011955,0.003523803,0.8852066,0.00003289571,0.006118362,0.00186453,0.0001243631,0.0009186491,0.001015268],"genre_scores_gemma":[0.9983276,0.00004131486,0.000116129,0.00004068767,0.00009944053,0.0007336279,0.000006847813,0.0001203618,0.0005139976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.897132,"threshold_uncertainty_score":0.9995701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02460429699933257,"score_gpt":0.242709896279404,"score_spread":0.2181055992800714,"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."}}