{"id":"W2393907836","doi":"10.22215/etd/2006-08084","title":"Distributed optimistic simulation of DEVS and CELL-DEVS models with PCD++","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"DEVS; Computer science; Modeling and simulation; Simulation","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":[0.0009568858,0.0005344147,0.0007503536,0.0003741272,0.0004874053,0.001305489,0.001490521,0.0005659655,0.005985372],"category_scores_gemma":[0.003026784,0.0004834986,0.0007340323,0.0005443391,0.000486531,0.0008223428,0.001091544,0.0008673584,0.0005987934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110881,"about_ca_system_score_gemma":0.001900809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01204637,"about_ca_topic_score_gemma":0.01235958,"domain_scores_codex":[0.9994253,0.0001792825,0.00003448424,0.0000838983,0.0002002679,0.00007678856],"domain_scores_gemma":[0.998351,0.0009097047,0.0001195079,0.0002709483,0.0002426218,0.0001061934],"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":[0.00005855338,0.00001939086,0.0006165987,0.00002862995,0.00001657488,0.00003615763,0.0000335939,0.981293,0.0005621564,0.01122204,0.0007431764,0.005370098],"study_design_scores_gemma":[0.0000123455,0.00000943229,0.00004992876,0.000002489035,0.000005132348,0.0000082015,0.000007780725,0.9954325,0.0006232385,0.00278098,0.001065063,0.00000291094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08928964,0.0003744162,0.8826172,0.0005697797,0.0001768266,0.0001421919,0.001364516,0.002893727,0.02257163],"genre_scores_gemma":[0.8086502,0.0003509679,0.1781567,0.0001096752,0.00004317265,0.0002518761,0.001120294,0.0003853854,0.01093173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01204637,"threshold_uncertainty_score":0.02395248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07023432703009483,"score_gpt":0.3840027372988751,"score_spread":0.3137684102687803,"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."}}