{"id":"W2100889455","doi":"10.1109/date.2006.243777","title":"Generating Finite State Machines from System C","year":2006,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"SystemC; Computer science; Finite-state machine; Abstraction; Programming language; Electronic system-level design and verification; Abstract state machines; State (computer science); Graph; Embedded system; 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":[0.001098885,0.0007005829,0.0004583144,0.0009003531,0.000446843,0.0007417568,0.0007725871,0.0008225385,0.003235399],"category_scores_gemma":[0.005693247,0.0003198594,0.001196633,0.0005342535,0.001014489,0.0006016295,0.000825759,0.0007754723,0.0005836914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009180654,"about_ca_system_score_gemma":0.002204907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002859777,"about_ca_topic_score_gemma":0.002500419,"domain_scores_codex":[0.9985799,0.0003998355,0.00009242065,0.0002423731,0.0005335368,0.0001520252],"domain_scores_gemma":[0.9964036,0.002237172,0.0002239051,0.0005185584,0.0005654514,0.00005144555],"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":[0.0004617633,0.0002034429,0.003500802,0.0008843987,0.00009065276,0.0007723856,0.0005113492,0.5765743,0.05736443,0.2026027,0.007522599,0.1495112],"study_design_scores_gemma":[0.0001223609,0.0002398523,0.0005089002,0.00005466597,0.00003597264,0.0001441839,0.0000436676,0.8768034,0.053606,0.05762583,0.01078219,0.0000329088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04513801,0.00006628691,0.9435586,0.0001768167,0.00005739516,0.0004300532,0.000755084,0.005332214,0.004485518],"genre_scores_gemma":[0.4257757,0.0001199111,0.5655177,0.0001640852,0.0000242965,0.001313949,0.003088706,0.000639161,0.003356518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003235399,"threshold_uncertainty_score":0.01082349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111680409855972,"score_gpt":0.222792155276001,"score_spread":0.2116753511774412,"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."}}