{"id":"W2132894060","doi":"10.1109/tvlsi.2007.896905","title":"First Silicon Functional Validation and Debug of Multicore Microprocessors","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"Advanced Micro Devices","keywords":"Debugging; Background debug mode interface; Computer science; Microprocessor; Embedded system; Multi-core processor; x86; Debugger; Computer architecture; Node (physics); Software; Operating system; Engineering","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":[0.0007209654,0.0002215345,0.0002623399,0.0003509716,0.0003964634,0.0001487711,0.0002347695,0.0001595508,0.00001673108],"category_scores_gemma":[0.00002696012,0.0002049372,0.0001124586,0.0005416933,0.00006197697,0.0007142001,0.000003114993,0.0002484939,0.00002689054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103248,"about_ca_system_score_gemma":0.00005737156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001799091,"about_ca_topic_score_gemma":0.0004661783,"domain_scores_codex":[0.9981315,0.00007145576,0.0006176847,0.0004559012,0.0004144331,0.0003090198],"domain_scores_gemma":[0.9986966,0.0002911281,0.0002302245,0.0003262197,0.0003326039,0.0001232552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000153912,0.004227231,0.0144553,0.001924703,0.0005546464,0.00005531257,0.023131,0.1619637,0.4454066,0.01084796,0.001173726,0.3361059],"study_design_scores_gemma":[0.001871502,0.0003837326,0.007205849,0.0008700321,0.00008218941,0.000219847,0.002521284,0.613071,0.3721723,0.0001780107,0.0006662447,0.0007580453],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2202339,0.00008799737,0.7779864,0.00006526543,0.001020609,0.0002240833,0.0000242404,0.0001466178,0.0002108352],"genre_scores_gemma":[0.9987795,0.00001747744,0.0006983161,0.00005242196,0.00009008357,0.00002737573,0.00001141318,0.00001628426,0.0003071743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7785455,"threshold_uncertainty_score":0.8357097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01924252246275437,"score_gpt":0.2333633392710506,"score_spread":0.2141208168082963,"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."}}