{"id":"W3147111781","doi":"10.1109/wsc48552.2020.9383948","title":"A dEVS Simulation Algorithm Based on Shared Memory for Enhancing Performance","year":2020,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Discrete event simulation; Formalism (music); Exploit; Synchronization (alternating current); Parallel computing; Distributed computing; Overhead (engineering); Modeling and simulation; Algorithm; Simulation; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005445727,0.00009103322,0.0001333877,0.00009382485,0.0001780265,0.0001227449,0.0002874108,0.00005064043,0.0008660467],"category_scores_gemma":[0.0008048182,0.00006991182,0.00008322178,0.0005211468,0.0000152175,0.0002075494,0.00002711325,0.00005447905,0.0002243821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002200856,"about_ca_system_score_gemma":0.00004347322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002336915,"about_ca_topic_score_gemma":0.000002161182,"domain_scores_codex":[0.9985682,0.00002242307,0.0004018692,0.0003533049,0.0005230706,0.0001311246],"domain_scores_gemma":[0.997833,0.001381184,0.0001147056,0.0002926675,0.000282904,0.00009556251],"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":[0.00003860794,0.00003043519,0.0001965806,0.000005521888,0.000002099414,1.305279e-7,0.0001716245,0.4619746,0.0005969287,0.0003788254,0.00393067,0.532674],"study_design_scores_gemma":[0.0002737283,0.000109193,0.0006155257,0.000005163398,0.000002855149,5.340902e-8,0.00006964739,0.9612583,0.01189881,0.0007345644,0.02493838,0.00009376005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0078133,0.000002558834,0.9854739,0.002076985,0.00003232314,0.0005463322,0.0000229227,0.0001990922,0.00383256],"genre_scores_gemma":[0.9104292,2.999681e-7,0.08474871,0.003866909,0.0001017013,0.00008931686,0.00001736473,0.000009655156,0.0007368751],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9026158,"threshold_uncertainty_score":0.9482604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1784735668532592,"score_gpt":0.4207354177754415,"score_spread":0.2422618509221824,"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."}}