{"id":"W2161800297","doi":"10.1109/ds-rt.2008.13","title":"Interfacing and Coordination for a DEVS Simulation Protocol Standard","year":2008,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Interoperability; Computer science; Interfacing; Implementation; Scalability; Protocol (science); Distributed computing; Interface (matter); Standardization; Discrete event simulation; Composability; SOAP; Computer network; Operating system; Software engineering; Modeling and simulation; Simulation; Programming language","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":[0.0006075166,0.00005906927,0.00009920534,0.000121128,0.0002437699,0.00007801173,0.00009987689,0.00003845115,0.0001509258],"category_scores_gemma":[0.0006988293,0.00004327732,0.00003170751,0.0002545771,0.00004022813,0.000173978,0.0000478768,0.00003117334,0.00001216851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002260127,"about_ca_system_score_gemma":0.00002661106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005176203,"about_ca_topic_score_gemma":0.000004550991,"domain_scores_codex":[0.9990388,0.00002097541,0.00033261,0.0002174449,0.0003102049,0.00007997895],"domain_scores_gemma":[0.9985049,0.0007325353,0.0001059617,0.0001730241,0.0004445646,0.00003905152],"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":[0.0004180466,0.0000998764,0.02296409,0.00002312469,0.00001276713,6.402269e-7,0.001305396,0.02430551,0.003052502,0.09105631,0.03226534,0.8244964],"study_design_scores_gemma":[0.0009693709,0.0001704241,0.004948863,0.00000728324,0.000002881993,0.000004022432,0.0001443412,0.5718976,0.008145189,0.1335497,0.2800178,0.0001424818],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03016201,0.000001175219,0.9333582,0.0005237245,0.00001145097,0.03185853,0.000008005081,0.0001054543,0.00397146],"genre_scores_gemma":[0.952818,8.850864e-8,0.02027956,0.00008803708,0.00002294426,0.02437299,0.000001738078,0.000005170075,0.002411482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.922656,"threshold_uncertainty_score":0.1874906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2692129358771715,"score_gpt":0.5168337789683983,"score_spread":0.2476208430912268,"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."}}