{"id":"W2524806454","doi":"10.1109/fpl.2016.7577371","title":"Quantifying observability for in-system debug of high-level synthesis circuits","year":2016,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Observability; Debugging; Computer science; Metric (unit); High-level synthesis; Variable (mathematics); Embedded system; Electronic circuit; Computer engineering; Field-programmable gate array; Programming language; 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":[0.001682632,0.000151726,0.0004113631,0.0001574972,0.00003722987,0.00003159135,0.001080406,0.0001163547,0.000005183115],"category_scores_gemma":[0.0004939084,0.0001009068,0.0001043302,0.000303247,0.00003932382,0.0004803261,0.0001443087,0.00003772006,0.00001137829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001878352,"about_ca_system_score_gemma":0.00008459277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003695205,"about_ca_topic_score_gemma":0.0001830333,"domain_scores_codex":[0.9981084,0.0001979973,0.000635376,0.0004920791,0.0002561572,0.0003100018],"domain_scores_gemma":[0.9967377,0.001775984,0.0002010129,0.001024098,0.0002012784,0.00005993955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001007382,0.00009789826,0.02443372,0.0007601498,0.00002576076,0.000004806765,0.0002879157,0.000001746109,0.1337716,0.7265739,0.0004977451,0.1135346],"study_design_scores_gemma":[0.0004471029,0.0000999094,0.03166803,0.0009604824,0.000007445177,0.00001246796,0.00006692724,0.002748154,0.9561815,0.007340652,0.0001141692,0.0003531259],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07824559,0.00002438625,0.9195171,0.0002573089,0.0001821995,0.0005975742,0.00001272538,0.0004598365,0.0007032714],"genre_scores_gemma":[0.8668331,0.000001664868,0.1328022,0.00001728728,0.00001873694,0.0002193243,1.260837e-7,0.00001173009,0.00009584198],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8224099,"threshold_uncertainty_score":0.4114861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1568055473325858,"score_gpt":0.3010054580857761,"score_spread":0.1441999107531903,"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."}}