{"id":"W2159907637","doi":"10.5555/1356802.1356904","title":"Faster projection based methods for circuit level verification","year":2008,"lang":"en","type":"article","venue":"","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Reachability; Very-large-scale integration; Flip-flop; Formal verification; Computation; Transistor; Digital electronics; Reduction (mathematics); Projection (relational algebra); Computer engineering; Electronic circuit; Functional verification; Embedded system; Computer hardware; Algorithm; Electrical engineering; Engineering","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":[0.001712901,0.001246364,0.001068452,0.0009243398,0.0007217928,0.001489102,0.001675772,0.001028362,0.01742776],"category_scores_gemma":[0.006865953,0.0008477721,0.00162399,0.001050273,0.001532619,0.002483481,0.002794876,0.003174221,0.002988146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262069,"about_ca_system_score_gemma":0.001779969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004106685,"about_ca_topic_score_gemma":0.004183845,"domain_scores_codex":[0.9978341,0.0007207456,0.0001047909,0.0002385755,0.0009595897,0.0001421176],"domain_scores_gemma":[0.9940338,0.003818312,0.0002196611,0.001058972,0.0007809126,0.00008840366],"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":[0.000408034,0.0001776733,0.0009236011,0.0005082951,0.0001212835,0.000176306,0.0002140169,0.5353876,0.01823437,0.1972027,0.004846133,0.2418],"study_design_scores_gemma":[0.00005242525,0.00003348235,0.0000794915,0.00002574401,0.00001204156,0.00003334745,0.00001393843,0.9280666,0.003281947,0.0654823,0.002907502,0.00001126981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002699148,0.00008213356,0.9940618,0.00005718408,0.00002371267,0.00004549926,0.00004962533,0.001376227,0.001604671],"genre_scores_gemma":[0.1399642,0.0002048758,0.8556131,0.000105173,0.00003365026,0.00039332,0.0003034665,0.0005586005,0.002823641],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01742776,"threshold_uncertainty_score":0.05830169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2319006417294177,"score_gpt":0.3989357876412696,"score_spread":0.167035145911852,"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."}}