{"id":"W129094118","doi":"10.5555/1999416.1999442","title":"Symbolic flattening of DEVS models","year":2010,"lang":"en","type":"article","venue":"Summer Computer Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"DEVS; Flattening; Computer science; Modular design; Modelica; USable; Formalism (music); Theoretical computer science; Computation; Programming language; Symbolic computation; Modeling and simulation; Simulation; Engineering; 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":[0.001163511,0.0006790464,0.000588813,0.0008584133,0.0004702815,0.001457277,0.00109559,0.0006715127,0.005852768],"category_scores_gemma":[0.004363892,0.0005779085,0.001730492,0.0005541077,0.001414481,0.001811989,0.002349023,0.001641445,0.000875849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044531,"about_ca_system_score_gemma":0.001368066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003654281,"about_ca_topic_score_gemma":0.00299838,"domain_scores_codex":[0.9987015,0.000312938,0.0001141726,0.0001817001,0.0005720161,0.0001177],"domain_scores_gemma":[0.9976928,0.000917504,0.0001332842,0.0008581284,0.0003376855,0.00006063952],"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":[0.0001337172,0.00004281512,0.0008411619,0.000176781,0.00003852911,0.0005939593,0.0005761901,0.5374688,0.02040884,0.3844494,0.001442274,0.05382747],"study_design_scores_gemma":[0.000023573,0.00004912699,0.0001245326,0.00004144015,0.00002222216,0.0001095711,0.00006526367,0.8688735,0.01612331,0.09947353,0.01507409,0.00001986284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01241457,0.00004794194,0.9817088,0.00009316256,0.0000304149,0.00005086164,0.0001717741,0.00123015,0.004252329],"genre_scores_gemma":[0.5153469,0.0003709926,0.4695857,0.0001646277,0.0000519863,0.0003340179,0.001512052,0.0007896794,0.01184399],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005852768,"threshold_uncertainty_score":0.01957941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2563621658795836,"score_gpt":0.4348785207737008,"score_spread":0.1785163548941172,"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."}}