{"id":"W2576038084","doi":"10.5555/3042094.3042533","title":"Discrete event modeling and simulation methodologies: past, present and future","year":2016,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Discrete event simulation; Interoperability; Formalism (music); Modeling and simulation; Systems engineering; Perspective (graphical); Development (topology); Software engineering; Data science; Distributed computing; Simulation; Artificial intelligence; 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":[0.01399501,0.001272899,0.001166125,0.002501155,0.0007632195,0.007233897,0.002265529,0.002285198,0.003720311],"category_scores_gemma":[0.008301053,0.0007679394,0.001104341,0.004443393,0.004177324,0.00926898,0.002247016,0.003889188,0.001477242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002364402,"about_ca_system_score_gemma":0.002588731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693866,"about_ca_topic_score_gemma":0.001220229,"domain_scores_codex":[0.9933298,0.003758762,0.0005519901,0.0005526978,0.00161173,0.0001949156],"domain_scores_gemma":[0.989713,0.006593276,0.0005767047,0.001045069,0.001484942,0.0005870745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005403793,0.00009816934,0.001296241,0.001304899,0.00007488442,0.0001438252,0.000658254,0.01035972,0.0008156124,0.707341,0.009153955,0.2686994],"study_design_scores_gemma":[0.00002588426,0.0001002447,0.0005329925,0.001500681,0.00004617119,0.0003746267,0.0009390966,0.0498048,0.001193828,0.4777546,0.4676404,0.00008661947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.003610405,0.1395969,0.8061702,0.02397069,0.002477336,0.000146351,0.0002063547,0.0005845928,0.02323723],"genre_scores_gemma":[0.1129773,0.2544798,0.6105956,0.003935464,0.003709776,0.0004078756,0.0004884444,0.0003000261,0.01310575],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01399501,"threshold_uncertainty_score":0.07401353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2698451191333001,"score_gpt":0.4779018796168948,"score_spread":0.2080567604835947,"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."}}