{"id":"W2055549219","doi":"10.5555/1030453.1030552","title":"Parallel and distributed simulation: fast cell level ATM network simulation","year":2002,"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":"University of Calgary","funders":"","keywords":"Benchmark (surveying); Computer science; Kernel (algebra); Discrete event simulation; Factor (programming language); Parallel computing; Simulation; Mathematics","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":[0.001014553,0.0006181246,0.0006737396,0.0003919693,0.0006110269,0.001000258,0.001278544,0.0006890968,0.003462899],"category_scores_gemma":[0.003190449,0.0002851015,0.0004807814,0.000817225,0.0005355439,0.001190098,0.0009231424,0.001008285,0.0004754435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024939,"about_ca_system_score_gemma":0.001499777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01401266,"about_ca_topic_score_gemma":0.008722134,"domain_scores_codex":[0.9993126,0.0001773343,0.00002969619,0.00009058177,0.0002825239,0.0001071842],"domain_scores_gemma":[0.9983068,0.0007382951,0.00007845817,0.0003315989,0.0004236808,0.0001212517],"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":[0.0004131169,0.00012418,0.002833024,0.00005847584,0.00004102551,0.0000768309,0.00004546063,0.9544361,0.00365963,0.006012343,0.001556247,0.03074362],"study_design_scores_gemma":[0.00002386646,0.00003133374,0.0002735164,0.000001562475,0.000005831866,0.00001438427,0.000008213873,0.9957332,0.002171583,0.0009704557,0.000761512,0.000004492794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5220844,0.0006376261,0.4431522,0.0006240375,0.000241104,0.0002033468,0.0009239148,0.005925284,0.02620809],"genre_scores_gemma":[0.907262,0.0001713275,0.08906184,0.00004924932,0.00002396204,0.00009879503,0.0006664561,0.0001484309,0.002517886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01401266,"threshold_uncertainty_score":0.02786219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2549768272720732,"score_gpt":0.3928893751237738,"score_spread":0.1379125478517005,"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."}}