{"id":"W2037293891","doi":"10.1177/0037549707085084","title":"Parallel Environment for DEVS and Cell-DEVS Models","year":2007,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Bottleneck; Distributed computing; Modular design; Rotation formalisms in three dimensions; Parallel computing; Discrete event simulation; Composability; Formalism (music); Modeling and simulation; Embedded system; Operating system; 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":[0.001186658,0.0005293154,0.0005244986,0.0002876977,0.0005204044,0.001269958,0.00169702,0.000621535,0.005439708],"category_scores_gemma":[0.003419168,0.0004519801,0.0008488399,0.0004317442,0.0006575519,0.001305633,0.00154837,0.001479489,0.0009078995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008376082,"about_ca_system_score_gemma":0.001997482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002841365,"about_ca_topic_score_gemma":0.003192577,"domain_scores_codex":[0.9991365,0.0002769192,0.00008453237,0.0001003967,0.0003249636,0.00007669481],"domain_scores_gemma":[0.9987804,0.0004959633,0.00009379361,0.0003721537,0.0001871219,0.00007045616],"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":[0.0001613377,0.00009238077,0.001541901,0.0001554066,0.0000437151,0.0002483666,0.0001905573,0.5261209,0.005164424,0.4327728,0.005430376,0.02807781],"study_design_scores_gemma":[0.00003870263,0.00002286894,0.00008957071,0.00001042708,0.000009782133,0.00005009496,0.00001651429,0.9465166,0.003359552,0.02576768,0.02410847,0.0000096237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00929507,0.00008317125,0.981589,0.0001531344,0.00005332796,0.0001053398,0.0002767659,0.001993302,0.006451017],"genre_scores_gemma":[0.2740748,0.000330233,0.7140779,0.0001429237,0.0000450091,0.0008317656,0.001603227,0.0006046839,0.008289429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005439708,"threshold_uncertainty_score":0.0181976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1639559580939786,"score_gpt":0.4191839547410239,"score_spread":0.2552279966470452,"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."}}