{"id":"W2158266165","doi":"10.1109/ccece.2000.849694","title":"Modeling and verification of embedded systems using Cadence SMV","year":2002,"lang":"en","type":"article","venue":"","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Formal verification; Model checking; Verification; Functional verification; Intelligent verification; Cadence; Verilog; Runtime verification; Embedded system; Software verification; Formal methods; Abstraction; Electronic system-level design and verification; High-level verification; Programming language; Software; Software system; Software construction; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008163844,0.000715676,0.0004873628,0.0008902132,0.0003265933,0.0008542536,0.001139273,0.0007718038,0.002932544],"category_scores_gemma":[0.00216531,0.0004449789,0.0008279261,0.0004730724,0.0006164637,0.000770708,0.0005478053,0.0007990112,0.0005937732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005786014,"about_ca_system_score_gemma":0.0009432214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0034115,"about_ca_topic_score_gemma":0.003123928,"domain_scores_codex":[0.99913,0.000218977,0.00007066496,0.00006331696,0.0004418511,0.00007528461],"domain_scores_gemma":[0.9993985,0.0002904056,0.00008017199,0.0001283079,0.00009059015,0.00001212981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007695721,0.00004475213,0.0008446882,0.0005219877,0.00005061075,0.0004611716,0.0001978655,0.7963277,0.03131957,0.1105166,0.001904164,0.05773395],"study_design_scores_gemma":[0.00005441865,0.0001163586,0.0004211274,0.00005944086,0.00002741414,0.0001928777,0.00002183038,0.9392413,0.01720727,0.02064146,0.02199676,0.00001983142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01129641,0.0003173358,0.9810396,0.00007774869,0.00003625912,0.00009841016,0.000202183,0.002093231,0.004838824],"genre_scores_gemma":[0.3811263,0.001258063,0.6090417,0.00009298517,0.00003983966,0.0007835339,0.0009694121,0.0003732828,0.00631485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0034115,"threshold_uncertainty_score":0.009810328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1229041462733915,"score_gpt":0.3061002754615999,"score_spread":0.1831961291882084,"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."}}