{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004319229,0.00009736387,0.00008661793,0.00009106173,0.0002190298,0.0001538129,0.0003748179,0.0000620186,0.000003088376],"category_scores_gemma":[0.0002065688,0.00009325198,0.00005877674,0.0003241028,0.00001531637,0.0009464663,0.00004051348,0.00005594479,0.00001858841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006741285,"about_ca_system_score_gemma":0.00004145954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000135663,"about_ca_topic_score_gemma":0.000003208626,"domain_scores_codex":[0.999024,0.00003749042,0.0002492562,0.0002912365,0.0001955256,0.0002024628],"domain_scores_gemma":[0.9991897,0.00009439628,0.0001010816,0.0003817245,0.0001770419,0.00005604819],"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":[0.000002463052,0.00004245453,0.0001051108,0.00001603511,0.000008316376,4.070036e-7,0.0003550129,0.3945448,0.02130893,0.4813021,0.00002425713,0.1022901],"study_design_scores_gemma":[0.0003589705,0.0001039408,0.001079394,0.000009253936,0.00000366274,0.000002147687,0.00002176397,0.9207419,0.05715436,0.02002693,0.0003448953,0.0001527879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06234217,0.00001819947,0.9357818,0.0001248964,0.0006125619,0.00029759,9.581265e-7,0.0002382754,0.0005835738],"genre_scores_gemma":[0.4889295,6.714095e-7,0.5108434,0.00008565714,0.00005466677,0.00003398089,0.000002202718,0.000005021209,0.00004492401],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5261971,"threshold_uncertainty_score":0.3802706,"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."}}