{"id":"W2159348557","doi":"10.1142/s0218126607004052","title":"A DESIGN FOR VERIFICATION APPROACH USING AN EMBEDDING OF PSL IN AsmL","year":2007,"lang":"en","type":"article","venue":"Journal of Circuits Systems and Computers","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"SiliconPro (Canada); Concordia University","funders":"","keywords":"Computer science; Abstract state machines; Programming language; Embedding; Unified Modeling Language; Finite-state machine; Code (set theory); Model checking; Embedded system; Theoretical computer science; Software; Artificial intelligence","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":[0.004545471,0.000946953,0.0004648128,0.000834908,0.0006071068,0.001563898,0.001465239,0.0009831215,0.005374956],"category_scores_gemma":[0.007135539,0.0006909881,0.001602007,0.0003884586,0.001851546,0.002531713,0.001932144,0.002210641,0.001679371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008196254,"about_ca_system_score_gemma":0.002360803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001078113,"about_ca_topic_score_gemma":0.001254641,"domain_scores_codex":[0.9957358,0.001616917,0.0003397142,0.0005921779,0.001477867,0.0002375404],"domain_scores_gemma":[0.9952971,0.002064723,0.0003136703,0.001434158,0.0007859515,0.0001043746],"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":[0.0002959643,0.0003191759,0.001713913,0.001115537,0.0001415255,0.000976733,0.001722167,0.07291094,0.07572144,0.513445,0.00672865,0.324909],"study_design_scores_gemma":[0.000237799,0.0007572238,0.0005281031,0.0003395607,0.000185858,0.0008071324,0.0002189015,0.5782993,0.1048151,0.147051,0.1666362,0.0001238131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009910313,0.00001853508,0.9966966,0.0000995041,0.00002277525,0.0000943322,0.00002304112,0.001140828,0.00091333],"genre_scores_gemma":[0.05029166,0.00007709798,0.9468611,0.0001793115,0.00002425931,0.0003660155,0.0001667891,0.0003289181,0.001704843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005374956,"threshold_uncertainty_score":0.02403903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1152658094134228,"score_gpt":0.3423771423637977,"score_spread":0.2271113329503749,"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."}}