{"id":"W4287831525","doi":"10.1145/3543849","title":"The DEVStone Metric: Performance Analysis of DEVS Simulation Engines","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Modeling and Computer Simulation","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Ministerio de Ciencia e Innovación","keywords":"DEVS; Benchmark (surveying); Discrete event simulation; Metric (unit); Computer science; Formalism (music); Performance metric; Modeling and simulation; Simulation; Engineering","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":[0.008249374,0.001657287,0.0009669993,0.004143319,0.0005166871,0.001807324,0.002020594,0.0009392962,0.002492513],"category_scores_gemma":[0.03991053,0.0004283593,0.0009215921,0.003456104,0.0005606608,0.002617967,0.001575775,0.001060195,0.0006714851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596448,"about_ca_system_score_gemma":0.001626569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003257526,"about_ca_topic_score_gemma":0.002787349,"domain_scores_codex":[0.9907266,0.003127986,0.001539325,0.000792388,0.003303012,0.000510649],"domain_scores_gemma":[0.9762719,0.01269931,0.001552429,0.003558541,0.005235174,0.0006826759],"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":[0.001533946,0.0009113195,0.02955356,0.002583214,0.0007551618,0.0002430096,0.0003869077,0.7247166,0.01565977,0.02546049,0.03902391,0.1591721],"study_design_scores_gemma":[0.0001387998,0.000912847,0.006810468,0.000133236,0.00009505981,0.0001883556,0.0002250161,0.9447437,0.02132982,0.007797313,0.01753824,0.00008712769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6027522,0.005671933,0.2987402,0.001325069,0.0008534693,0.00159768,0.02871558,0.02074359,0.03960021],"genre_scores_gemma":[0.8244684,0.0008205638,0.143928,0.0001932615,0.00006239131,0.0007366072,0.02677,0.001040783,0.001980014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008249374,"threshold_uncertainty_score":0.04362738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1012050368631543,"score_gpt":0.3780876981216702,"score_spread":0.2768826612585159,"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."}}