{"id":"W1559982914","doi":"10.1109/iccd.2004.1347955","title":"Generating monitor circuits for simulation-friendly GSTE assertion graphs","year":2004,"lang":"en","type":"article","venue":"","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Formal verification; Symbolic execution; Runtime verification; Symbolic trajectory evaluation; Emulation; Formal methods; Functional verification; Assertion; Exploit; Formal specification; Programming language; High-level verification; Semantics (computer science); Intelligent verification; Embedded system; Model checking; Software","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":[0.001044401,0.0005457516,0.0002703345,0.0005661999,0.0002393308,0.0007921219,0.0007578224,0.0005905891,0.003702757],"category_scores_gemma":[0.006140225,0.0003769331,0.0006234635,0.0002967805,0.0009282809,0.001217482,0.0009986731,0.0008418522,0.0005879323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005065292,"about_ca_system_score_gemma":0.0006423895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004739803,"about_ca_topic_score_gemma":0.0008839436,"domain_scores_codex":[0.9987597,0.0003940756,0.00009843223,0.0001751932,0.000450348,0.0001222714],"domain_scores_gemma":[0.9955147,0.002933851,0.0004053331,0.0007562707,0.0003333299,0.00005652911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000758293,0.0002854312,0.005923735,0.0007248632,0.00009169061,0.001200151,0.0008196084,0.1751112,0.2049959,0.3723032,0.004117449,0.2336685],"study_design_scores_gemma":[0.00016441,0.0002895823,0.0009066928,0.00005116513,0.00008315747,0.0004763892,0.00008238657,0.6304185,0.2562931,0.09213021,0.01905988,0.00004450292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0327697,0.00002383502,0.9608815,0.0001069113,0.00001815987,0.000160864,0.0001805831,0.004052324,0.001806067],"genre_scores_gemma":[0.5862776,0.00009092038,0.4081613,0.0001494124,0.00002122304,0.0004556027,0.0007339859,0.0009946103,0.003115361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003702757,"threshold_uncertainty_score":0.01238698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04318022878942198,"score_gpt":0.332898389220714,"score_spread":0.2897181604312921,"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."}}