{"id":"W1922915833","doi":"10.1109/icvd.2000.812609","title":"Hierarchical test generation for systems on a chip","year":2002,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"Semiconductor Research Corporation","keywords":"Testability; Design for testing; Automatic test pattern generation; Computer science; System on a chip; Embedded system; Chip; Logic synthesis; Computer architecture; Core (optical fiber); Logic gate; Reliability engineering; Engineering; Electronic circuit; Algorithm","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":[0.0008372005,0.0007269719,0.0004668372,0.0009027266,0.0003755338,0.0007804649,0.0008944793,0.0005798778,0.008253374],"category_scores_gemma":[0.003588245,0.0003159513,0.0007461506,0.0006149773,0.0008753734,0.0007302774,0.0008172254,0.0007546702,0.001234785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007153143,"about_ca_system_score_gemma":0.0007050746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001505224,"about_ca_topic_score_gemma":0.001858078,"domain_scores_codex":[0.9989175,0.0003879309,0.0000657961,0.0001511363,0.0003907543,0.00008693853],"domain_scores_gemma":[0.9984309,0.0008996075,0.00008044121,0.0003260838,0.0002344672,0.00002843579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002482471,0.0001312894,0.001589625,0.0007859849,0.00007950291,0.0008036313,0.0003325191,0.2563818,0.03699018,0.145906,0.01516035,0.5415908],"study_design_scores_gemma":[0.0001372764,0.0003505741,0.0008502817,0.0001024115,0.00006516946,0.000497908,0.00007165538,0.777284,0.03255872,0.1440233,0.04402438,0.00003436279],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01355948,0.000305691,0.9718137,0.000221657,0.00005987546,0.000340099,0.0003405465,0.005144994,0.008213929],"genre_scores_gemma":[0.2755298,0.0002750416,0.7163054,0.0002376351,0.00004884634,0.0005730652,0.001947059,0.0006056324,0.004477436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008253374,"threshold_uncertainty_score":0.02761024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07613928659928185,"score_gpt":0.2476974535768787,"score_spread":0.1715581669775968,"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."}}