{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009979911,0.001503426,0.0004808139,0.001482808,0.00044712,0.001769559,0.001560846,0.0005799156,0.03835133],"category_scores_gemma":[0.005115234,0.0005357271,0.0004655056,0.0008458549,0.000441144,0.002914633,0.00154788,0.001003266,0.006180975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009126711,"about_ca_system_score_gemma":0.00106541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001918406,"about_ca_topic_score_gemma":0.002820398,"domain_scores_codex":[0.9990692,0.0001758163,0.00004221941,0.0001607146,0.0003742718,0.0001779009],"domain_scores_gemma":[0.9977448,0.001089954,0.0001074937,0.0005794658,0.0003960166,0.00008219419],"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":[0.00153828,0.000184848,0.00844498,0.0008768965,0.0001096095,0.0005117405,0.0004581267,0.06318218,0.05963715,0.03961365,0.06665123,0.7587913],"study_design_scores_gemma":[0.0005739012,0.0009121689,0.004911767,0.0002855032,0.0001553138,0.001319612,0.0004408995,0.5156469,0.2073507,0.0291903,0.2390492,0.0001638027],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1222674,0.001935023,0.7100807,0.0006050537,0.0006346413,0.0003572887,0.00155554,0.09207809,0.07048616],"genre_scores_gemma":[0.6398512,0.000986099,0.330598,0.0002617504,0.00008329369,0.000281244,0.002175224,0.004368158,0.02139499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03835133,"threshold_uncertainty_score":0.128298,"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."}}