{"id":"W2112770269","doi":"10.1109/test.2002.1041764","title":"Design rewiring using ATPG","year":2003,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Automatic test pattern generation; Electronic design automation; Computer science; Automation; Logic synthesis; Set (abstract data type); Logic gate; Field (mathematics); Computer engineering; Algorithm; Computer architecture; Engineering; Programming language; Embedded system; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003089539,0.00005800833,0.00005943191,0.00004052508,0.0001170004,0.00009829688,0.0002427161,0.00001926211,0.00001855212],"category_scores_gemma":[0.00007830333,0.0000520481,0.00002050362,0.0002425644,0.000008188434,0.0002711954,0.00003326724,0.00004771896,0.00003913433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001963262,"about_ca_system_score_gemma":0.00004643087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001156605,"about_ca_topic_score_gemma":4.472225e-7,"domain_scores_codex":[0.9993861,0.00005275558,0.00009278471,0.0001773325,0.00009474016,0.0001962375],"domain_scores_gemma":[0.9996182,0.00006954181,0.00002473539,0.0002144531,0.00002494758,0.0000480926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[9.635535e-8,0.00007616675,0.008950355,0.00001950525,0.00002497097,0.0001384183,0.0009100392,0.02132719,0.09940959,0.5982065,0.0006032342,0.2703339],"study_design_scores_gemma":[0.0002560276,0.00003922495,0.0003371779,0.00004266103,0.000005721779,0.0002290559,0.00004087881,0.9271832,0.05424096,0.01573736,0.00147642,0.0004113655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005003878,0.00004750094,0.9685361,0.00002447624,0.0001006173,0.0000323137,1.159721e-8,0.0001753471,0.02607976],"genre_scores_gemma":[0.772389,6.339385e-7,0.227196,0.0001852885,0.00001520239,5.539466e-7,2.160247e-8,0.000003595651,0.0002096925],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.905856,"threshold_uncertainty_score":0.212246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1069959796259596,"score_gpt":0.2648634375982502,"score_spread":0.1578674579722906,"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."}}