{"id":"W2132609582","doi":"10.1109/ase.2004.48","title":"Mapping template semantics to SMV","year":2004,"lang":"en","type":"article","venue":"","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Programming language; Semantics (computer science); Specification language; Set (abstract data type); Notation; Model checking; Mathematics","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":[0.004621891,0.0010306,0.0008115291,0.001414227,0.0008898697,0.00436778,0.003178822,0.001550017,0.006242031],"category_scores_gemma":[0.01372213,0.001052752,0.002605784,0.001400643,0.003059934,0.00585825,0.004398753,0.0024539,0.002396229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002274904,"about_ca_system_score_gemma":0.002737212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00267074,"about_ca_topic_score_gemma":0.00237729,"domain_scores_codex":[0.9922664,0.002917911,0.0008847241,0.001130036,0.00227333,0.0005276421],"domain_scores_gemma":[0.9922717,0.002908995,0.0005171857,0.003065638,0.001081463,0.0001549938],"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":[0.00007999341,0.00004177693,0.0003435795,0.0001943796,0.00003392595,0.0002286035,0.000610499,0.01655613,0.003761215,0.9337261,0.003423783,0.04100006],"study_design_scores_gemma":[0.00004646448,0.00006752397,0.00008968647,0.0001024733,0.00004087813,0.000212815,0.0001546947,0.1349052,0.01609719,0.7860337,0.06221093,0.00003837755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002718525,0.00005901692,0.9896936,0.0001388093,0.00005775903,0.0000993546,0.0001965507,0.002700736,0.004335722],"genre_scores_gemma":[0.2143665,0.0004415876,0.7714992,0.0004009891,0.0001248371,0.0007622582,0.00197171,0.002949188,0.007483768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006242031,"threshold_uncertainty_score":0.02444321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04244733512051396,"score_gpt":0.3008503936575986,"score_spread":0.2584030585370847,"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."}}