{"id":"W3160705248","doi":"10.1145/3249769","title":"Session details: Session 48: formal specification and verification testbench generation","year":2006,"lang":"en","type":"article","venue":"Design Automation Conference","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Session (web analytics); Computer science; Programming language; Formal verification; Formal specification; Formal methods; Functional verification; Software engineering; Computer architecture; World Wide Web","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":[0.0006527553,0.0001682797,0.0001315223,0.0001798453,0.0003308536,0.0004654032,0.0003060788,0.0001174183,0.00001472336],"category_scores_gemma":[0.0001723311,0.000158864,0.0000224151,0.0003446047,0.00004140532,0.001571096,0.00007150986,0.0001008978,0.00004255546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006771692,"about_ca_system_score_gemma":0.0001104679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005308692,"about_ca_topic_score_gemma":0.000003102532,"domain_scores_codex":[0.9984975,0.0001777475,0.0003672707,0.0004318156,0.0003099423,0.0002157077],"domain_scores_gemma":[0.9987835,0.0001656284,0.0002631807,0.0004481669,0.0002837045,0.00005582561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001298643,0.0001859476,0.004211064,0.00005971972,0.000006877489,0.000005260971,0.0008256025,0.0008631925,0.1930302,0.1328371,0.03216298,0.6357991],"study_design_scores_gemma":[0.0001678196,0.00004928968,0.03348364,0.00005743641,0.000005357927,0.00002173159,0.000004873207,0.9079475,0.03287166,0.02491957,0.000260051,0.0002110071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01853026,0.00006263761,0.9753072,0.0004015263,0.0001628977,0.000317011,0.00000120129,0.004717078,0.0005001554],"genre_scores_gemma":[0.6606206,0.00001393832,0.3390757,0.00004657582,0.00006881115,0.00005051547,0.00004048262,0.000007045273,0.00007632482],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9070843,"threshold_uncertainty_score":0.6478288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0665673360729413,"score_gpt":0.2736821927955757,"score_spread":0.2071148567226344,"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."}}