{"id":"W2118952760","doi":"10.1109/tcad.2008.2006091","title":"Automated Scan Chain Division for Reducing Shift and Capture Power During Broadside At-Speed Test","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Scan chain; Automatic test pattern generation; Fault coverage; Division (mathematics); Broadside; Power (physics); Computer science; SIGNAL (programming language); Fault (geology); Algorithm; Real-time computing; Engineering; Electronic circuit; Integrated circuit; Electrical engineering; Arithmetic; 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":[0.0002013585,0.0003239315,0.0002701462,0.0005983699,0.0003230987,0.0003170904,0.0004642571,0.0002307015,0.001607421],"category_scores_gemma":[0.00107007,0.0001804547,0.0001360374,0.0005423354,0.0003292343,0.0007564863,0.0004030744,0.0002982682,0.0002306516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002905005,"about_ca_system_score_gemma":0.0006219634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007950118,"about_ca_topic_score_gemma":0.002241484,"domain_scores_codex":[0.9996704,0.00006927525,0.00001918256,0.00006296008,0.0001386321,0.00003964872],"domain_scores_gemma":[0.9991234,0.0004199672,0.0001253316,0.0001498859,0.0001444815,0.00003702016],"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":[0.0007291506,0.00009021239,0.003121993,0.0001032921,0.00002519975,0.0002086916,0.0002178166,0.04800953,0.3639078,0.008169706,0.00109187,0.5743247],"study_design_scores_gemma":[0.00008302853,0.001101484,0.004636574,0.00003017804,0.00005673193,0.0008088083,0.00007704814,0.5435163,0.4343628,0.006860958,0.008426488,0.00003966904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3625813,0.0004779318,0.6327056,0.00009888286,0.00002620163,0.00008663355,0.00007454225,0.001125086,0.002823819],"genre_scores_gemma":[0.8124999,0.0001178974,0.1858147,0.00005397508,0.00001668537,0.00005284949,0.0001338163,0.00006761333,0.001242462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001607421,"threshold_uncertainty_score":0.005377352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02896202890509353,"score_gpt":0.2295475162427321,"score_spread":0.2005854873376386,"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."}}