{"id":"W1966105387","doi":"10.1145/2566668","title":"Accelerating FPGA debug","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Design Automation of Electronic Systems","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Debugging; Multiplexer; Field-programmable gate array; Embedded system; Computer hardware; Routing (electronic design automation); TRACE (psycholinguistics); Real-time computing; Multiplexing; Operating system","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":[0.0005484635,0.0001929193,0.000266442,0.0002487884,0.00009993382,0.0000471881,0.0002825869,0.0001429305,0.00005985973],"category_scores_gemma":[0.00003650002,0.0001969706,0.00008276147,0.0002949248,0.00001973183,0.0002087185,0.000001456802,0.0002166442,0.00005419723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001748574,"about_ca_system_score_gemma":0.000035683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001482541,"about_ca_topic_score_gemma":0.000002791971,"domain_scores_codex":[0.9986462,0.0001546842,0.0004536854,0.0001752397,0.0002314477,0.0003387342],"domain_scores_gemma":[0.9990183,0.0002954968,0.00008708704,0.0004800555,0.00006814762,0.00005096477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001963601,0.00009056008,0.000007089056,0.0002822973,0.0001869701,5.958716e-7,0.0003313135,0.7443129,0.08609031,0.004031291,0.00140207,0.163245],"study_design_scores_gemma":[0.0003153275,0.0003581395,0.00003569058,0.0001197652,0.00003427072,0.00001966215,0.00003770214,0.7932305,0.203164,0.001296231,0.001134657,0.0002540848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003433349,0.0002297592,0.9927421,0.00002678914,0.0002072618,0.0004556665,0.000002719871,0.001434782,0.00146764],"genre_scores_gemma":[0.9897504,0.0000584641,0.009742033,0.00001502498,0.00004838231,0.000184517,0.000004031216,0.00004556311,0.000151539],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9863171,"threshold_uncertainty_score":0.8032227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099592348424774,"score_gpt":0.2264472093870163,"score_spread":0.2054512859027686,"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."}}