{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004178167,0.00005587502,0.00008744199,0.00006358934,0.00005037869,0.0000525809,0.0002622949,0.0000411404,0.000003794643],"category_scores_gemma":[0.00006261269,0.0000526767,0.00001226716,0.0002068179,0.00002463237,0.0005484325,0.00005195987,0.00004509703,0.000004506815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002145504,"about_ca_system_score_gemma":0.000006929339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008345958,"about_ca_topic_score_gemma":3.437463e-7,"domain_scores_codex":[0.9992774,0.00007497174,0.0002149946,0.0001843091,0.0001519554,0.00009637234],"domain_scores_gemma":[0.9994325,0.00002334393,0.00007175928,0.0003598846,0.00008019114,0.00003231427],"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":[0.000003427784,0.00005499311,0.0002148883,0.0001532892,0.00001213147,9.646058e-7,0.003490351,0.2077346,0.08224101,0.6758023,0.00002861914,0.03026346],"study_design_scores_gemma":[0.00004746495,0.00001113462,0.00003926868,0.00001974263,0.000002304552,0.00001254072,0.00007318411,0.9950135,0.004488568,0.0002206354,0.00001129266,0.00006040157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1236896,0.0002828486,0.8748745,0.00001661521,0.0001521923,0.00008522688,2.443405e-7,0.00004994346,0.0008488965],"genre_scores_gemma":[0.5823632,0.00001689652,0.4175662,0.000006767278,0.000008840176,0.000002127758,8.244785e-8,0.000002003239,0.00003384912],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7872788,"threshold_uncertainty_score":0.2148093,"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."}}