{"id":"W4399036954","doi":"10.29007/rdbb","title":"Efficient Simulation for Hardware Model Checking","year":2024,"lang":"en","type":"article","venue":"EPiC series in computing","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Correctness; Executable; Model checking; Semantics (computer science); Programming language; Formal verification; Set (abstract data type); Speedup; Symbolic trajectory evaluation; Computer engineering; Parallel computing; Theoretical computer science","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":[0.001574135,0.001466093,0.0009698684,0.0008126705,0.0005416382,0.001592,0.001810995,0.001035005,0.01476056],"category_scores_gemma":[0.007678516,0.0007782766,0.002099326,0.0007584008,0.001246362,0.002761352,0.001817876,0.002350742,0.002670065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499791,"about_ca_system_score_gemma":0.002130514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003202658,"about_ca_topic_score_gemma":0.00466805,"domain_scores_codex":[0.9975979,0.0009436426,0.000158014,0.0002713821,0.0007919954,0.0002370525],"domain_scores_gemma":[0.9962065,0.002321372,0.000178991,0.0008514181,0.0003776987,0.0000640187],"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":[0.0003452613,0.0001443212,0.001576613,0.0006541754,0.0001093173,0.000250142,0.0001802855,0.6733363,0.01599745,0.2067915,0.008060624,0.09255403],"study_design_scores_gemma":[0.00004528781,0.00003882189,0.00008053002,0.0000485126,0.00001879099,0.00004967119,0.00001906833,0.9213824,0.009217381,0.0594551,0.009628903,0.00001556677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006491705,0.0001710956,0.979795,0.000190623,0.00005715975,0.00008706434,0.0002701724,0.008296305,0.004640873],"genre_scores_gemma":[0.2424182,0.000457839,0.7481264,0.0002062002,0.00005477037,0.0005494094,0.001499035,0.002451925,0.004236292],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01476056,"threshold_uncertainty_score":0.04937899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0436413897169171,"score_gpt":0.3310387987670756,"score_spread":0.2873974090501585,"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."}}