{"id":"W2131934454","doi":"10.1109/vtest.1995.512651","title":"On the design of at-speed testable VLSI circuits","year":2002,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Observability; Testability; Design for testing; Computer science; Very-large-scale integration; Automatic test pattern generation; Test compression; Electronic circuit; Scan chain; Speedup; Fault coverage; Electronic engineering; Benchmark (surveying); Integrated circuit; Reliability engineering; Parallel computing; Embedded system; Engineering; Electrical engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004323695,0.0006277424,0.0004118941,0.000558399,0.0002449983,0.0006245771,0.0007955157,0.0005222293,0.00232433],"category_scores_gemma":[0.001123574,0.0002630657,0.0004280503,0.0005098002,0.0004910177,0.0007829309,0.0003667264,0.0005484704,0.0004856039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004180165,"about_ca_system_score_gemma":0.000328798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000530211,"about_ca_topic_score_gemma":0.0008104974,"domain_scores_codex":[0.9996093,0.0001142057,0.0000224074,0.00005338921,0.0001582662,0.00004247079],"domain_scores_gemma":[0.9994932,0.000297951,0.00006849378,0.00005599573,0.00007388786,0.00001041931],"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":[0.0002335495,0.00006223507,0.000680598,0.001044512,0.0001078191,0.0003849771,0.0002050187,0.3292765,0.09729213,0.1833352,0.002776053,0.3846014],"study_design_scores_gemma":[0.0002015357,0.000946565,0.0005010887,0.0001821064,0.0001307178,0.000714312,0.00004558025,0.7892826,0.04630199,0.1010997,0.06054598,0.0000478729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01861151,0.002094909,0.9724832,0.0001917516,0.00005908779,0.00009614236,0.00005358651,0.0004352526,0.005974608],"genre_scores_gemma":[0.4027416,0.003725827,0.5869288,0.000252086,0.0001557117,0.0004583759,0.0002066119,0.000114293,0.005416584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00232433,"threshold_uncertainty_score":0.007775724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0826622983909937,"score_gpt":0.219356235581041,"score_spread":0.1366939371900473,"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."}}