{"id":"W2615965484","doi":"10.1109/fpt.2016.7929514","title":"Enhanced source-level instrumentation for FPGA in-system debug of High-Level Synthesis designs","year":2016,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Debugging; High-level synthesis; Computer science; Field-programmable gate array; Embedded system; Context (archaeology); Computer architecture; Software; Software bug; Programming language","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":[0.0009785127,0.0006188774,0.0003904594,0.0009282951,0.0002579508,0.001046285,0.0008755787,0.0004999028,0.009029141],"category_scores_gemma":[0.004967918,0.0003507227,0.0002157286,0.0003664339,0.0003949252,0.001088746,0.0008816877,0.0007581107,0.001780009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006181113,"about_ca_system_score_gemma":0.0008210764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005677125,"about_ca_topic_score_gemma":0.0008332474,"domain_scores_codex":[0.9990236,0.0003650245,0.0000601052,0.00009002162,0.0003653474,0.00009593322],"domain_scores_gemma":[0.9976922,0.001102742,0.000197797,0.0006373138,0.0003058644,0.00006404903],"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":[0.001693968,0.000488242,0.009629151,0.0008787062,0.000091501,0.0009935973,0.001371932,0.1596755,0.2293895,0.04073239,0.008521572,0.5465339],"study_design_scores_gemma":[0.0002042356,0.0006083305,0.002915426,0.00020662,0.00004355292,0.0005959786,0.0001282423,0.6050578,0.3429918,0.01227021,0.03491683,0.00006091511],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0584837,0.0002326193,0.9107324,0.0001285228,0.00007672924,0.0001273372,0.000250544,0.02120707,0.008761017],"genre_scores_gemma":[0.7551613,0.0001613863,0.2396629,0.0001149175,0.0000214015,0.0001251026,0.0003846321,0.001503337,0.002864964],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009029141,"threshold_uncertainty_score":0.03020549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07323575675952773,"score_gpt":0.2752366325828302,"score_spread":0.2020008758233024,"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."}}