{"id":"W2140764824","doi":"10.1109/mascot.2005.37","title":"M/CD++: modeling continuous systems using Modelica and DEVS","year":2005,"lang":"en","type":"article","venue":"Modeling, Analysis, and Simulation On Computer and Telecommunication Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Modelica; Modular design; Computer science; Abstraction; Programming language; Modeling and simulation; Notation; Discrete event simulation; Event (particle physics); Modeling language; Simulation; Mathematics; Software","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":[0.001043702,0.001239703,0.0007403895,0.0007399825,0.0004777289,0.00170309,0.001977509,0.0009360696,0.01005083],"category_scores_gemma":[0.002940259,0.0008404492,0.001227109,0.000744342,0.0006620393,0.00121628,0.00105572,0.002105704,0.002287107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005711834,"about_ca_system_score_gemma":0.001287538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003653056,"about_ca_topic_score_gemma":0.003161069,"domain_scores_codex":[0.9994895,0.00015935,0.00005896824,0.00007877439,0.0001761036,0.00003720858],"domain_scores_gemma":[0.9988392,0.0007124476,0.00007178228,0.0002013065,0.0001435389,0.0000317452],"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":[0.0001489827,0.0001059299,0.001115,0.0008538593,0.0001316446,0.0004951193,0.0003394601,0.649736,0.009909004,0.2134889,0.01693428,0.1067419],"study_design_scores_gemma":[0.00006711437,0.00003079849,0.00009742191,0.00005495804,0.00003189415,0.0001215013,0.00001850397,0.9175172,0.008242598,0.02776024,0.04603497,0.00002279585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001490913,0.00006222675,0.9897354,0.00007151525,0.00002669838,0.00005414031,0.0004280135,0.005480133,0.002650953],"genre_scores_gemma":[0.06147876,0.0004518734,0.930187,0.00009888293,0.00003820422,0.0007017272,0.001448595,0.001531072,0.00406373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01005083,"threshold_uncertainty_score":0.0336234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1371022122282929,"score_gpt":0.3929444613463211,"score_spread":0.2558422491180282,"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."}}