{"id":"W2218379410","doi":"10.1109/iccd.2015.7357083","title":"Emulation-based selection and assessment of assertion checkers for post-silicon validation","year":2015,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"University of Illinois at Urbana-Champaign","keywords":"Assertion; Emulation; Computer science; Hardware emulation; Selection (genetic algorithm); Crash; Software bug; Embedded system; Reliability engineering; Computer engineering; Software; Programming language; Artificial intelligence; Engineering; Field-programmable gate array","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":[0.000363467,0.00005000166,0.00006838462,0.0000731417,0.00004858965,0.000049792,0.00006976646,0.00002945252,0.00000155564],"category_scores_gemma":[0.0001061176,0.0000469255,0.00002039805,0.0001559747,0.000006447136,0.0003280713,0.00001079113,0.00002758721,4.790951e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000396359,"about_ca_system_score_gemma":0.0001406861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007269435,"about_ca_topic_score_gemma":0.00001434086,"domain_scores_codex":[0.9994764,0.00002661026,0.0001407471,0.0001477312,0.0001290104,0.00007947323],"domain_scores_gemma":[0.9993939,0.00008042571,0.00008584336,0.00008045214,0.0003152916,0.00004412122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003939484,0.0002284033,0.409911,0.0001322762,0.00003280087,3.668526e-7,0.0005054272,0.03347903,0.1693123,0.06091169,0.0002183849,0.3252643],"study_design_scores_gemma":[0.0003569292,0.0001674745,0.0584691,0.000008305299,0.000005204745,0.000001034992,0.00002402226,0.9205572,0.01951025,0.0008140682,0.00002798113,0.00005840467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3190009,0.000003920834,0.6800907,0.0002524646,0.00004479127,0.0001076503,4.466268e-7,0.00005295801,0.000446154],"genre_scores_gemma":[0.9664961,1.849571e-7,0.03337182,0.00006874011,0.0000192598,0.000009534166,0.00001284434,0.000002895198,0.00001868261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8870782,"threshold_uncertainty_score":0.1913566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05666402753882063,"score_gpt":0.3257038350045994,"score_spread":0.2690398074657787,"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."}}