{"id":"W2158004857","doi":"10.1145/1455229.1455233","title":"SOC test-architecture optimization for the testing of embedded cores and signal-integrity faults on core-external interconnects","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Design Automation of Electronic Systems","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and Technology of the People's Republic of China; Research Grants Council, University Grants Committee; McMaster University","keywords":"Computer science; Interconnection; Automatic test pattern generation; Embedded system; Core (optical fiber); System on a chip; Test compression; Signal integrity; Design for testing; Multi-core processor; Parallel computing; Reliability engineering; Testability; Electronic circuit; Engineering; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005607987,0.000675973,0.000472938,0.0007637292,0.0002354831,0.0003227043,0.000555754,0.0002445467,0.001269373],"category_scores_gemma":[0.001518478,0.0001939067,0.0003735278,0.0007432983,0.0002993086,0.0005031082,0.0004128697,0.0003059854,0.0001715064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009089945,"about_ca_system_score_gemma":0.0008689719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002485187,"about_ca_topic_score_gemma":0.004499582,"domain_scores_codex":[0.9995259,0.000193237,0.00002684456,0.00005099152,0.0001236592,0.00007943904],"domain_scores_gemma":[0.9990218,0.0004861528,0.0001730116,0.00009446809,0.000187329,0.00003719163],"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":[0.0002780056,0.0001047666,0.002287839,0.000129577,0.00003994514,0.0001308802,0.00007654543,0.6432803,0.05401881,0.004406938,0.001863356,0.2933831],"study_design_scores_gemma":[0.00002573915,0.0001488977,0.001057321,0.000005282754,0.00002168713,0.00007774894,0.00002493951,0.9834221,0.01268717,0.001705911,0.0008176732,0.000005491949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3136017,0.001123452,0.6765314,0.000299976,0.00002174979,0.0001523561,0.0001812503,0.00244162,0.005646518],"genre_scores_gemma":[0.8211796,0.0001863419,0.1765742,0.00006701102,0.00001473923,0.00008984622,0.0003469271,0.0001326168,0.001408534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002485187,"threshold_uncertainty_score":0.006595314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04635780958773395,"score_gpt":0.2758682475496357,"score_spread":0.2295104379619017,"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."}}