{"id":"W2076018800","doi":"10.1007/s10270-010-0176-6","title":"Code generation for a family of executable modelling notations","year":2010,"lang":"en","type":"article","venue":"Software & Systems Modeling","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Executable; Programming language; Code generation; Notation; Semantics (computer science); Operational semantics; Generator (circuit theory); Code (set theory); Petri net; Parameterized complexity; Algorithm; Operating system","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":[0.001070608,0.000782348,0.0002830933,0.0008304608,0.0004943443,0.0007263993,0.0006821241,0.0007382013,0.00348554],"category_scores_gemma":[0.006738558,0.0004041132,0.001037531,0.0004656132,0.00055317,0.0008363641,0.0008627705,0.0009032833,0.0008994957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004539921,"about_ca_system_score_gemma":0.0009806752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007474397,"about_ca_topic_score_gemma":0.0007889836,"domain_scores_codex":[0.9992284,0.0002217136,0.00005589191,0.0001358556,0.0002750157,0.00008318877],"domain_scores_gemma":[0.9970202,0.001794572,0.0002081133,0.0004783905,0.0004325656,0.00006622174],"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":[0.0007178662,0.0003342212,0.004506778,0.0008093725,0.0001036634,0.001765986,0.001264354,0.1903442,0.1357179,0.3171338,0.008561535,0.3387405],"study_design_scores_gemma":[0.0001276938,0.0001846551,0.0005549986,0.0001044845,0.00008902865,0.0007059702,0.00009966105,0.7891784,0.09424476,0.09873639,0.0159235,0.0000504555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03344962,0.00004837744,0.9603679,0.0001151863,0.00002894982,0.0001045898,0.0002190109,0.003072695,0.002593598],"genre_scores_gemma":[0.3719683,0.0001310699,0.6224623,0.00005913711,0.00001608684,0.0002112043,0.0008993094,0.00139057,0.002861957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00348554,"threshold_uncertainty_score":0.01166028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058855744807258,"score_gpt":0.3097429828756449,"score_spread":0.2038574083949191,"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."}}