{"id":"W2150247210","doi":"10.1109/pads.2009.15","title":"A Performance Evaluation of the Lightweight Time Warp Protocol in Optimistic Parallel Simulation of DEVS-Based Environmental Models","year":2009,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Protocol (science); Discrete event simulation; Execution time; Distributed computing; Node (physics); Parallel computing; Real-time computing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001602556,0.00008189692,0.0001454984,0.0001275862,0.00005331745,0.00001425737,0.000340557,0.00005568098,0.0006501941],"category_scores_gemma":[0.0001285313,0.00004999284,0.00006606339,0.0004307159,0.00005233046,0.0002029805,0.00002518633,0.00004878974,0.00001806725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006084769,"about_ca_system_score_gemma":0.00007333219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003428905,"about_ca_topic_score_gemma":0.00000108822,"domain_scores_codex":[0.9976664,0.0001234965,0.0006720964,0.0002008957,0.001248665,0.00008843843],"domain_scores_gemma":[0.9987729,0.0002627437,0.0003178758,0.0004752696,0.0001483902,0.00002285365],"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":[0.00002723043,0.000128208,0.001258675,0.000001256442,7.897353e-7,9.611909e-9,0.00005417553,0.9791798,0.0009784673,0.0003202462,0.00004027551,0.01801084],"study_design_scores_gemma":[0.0005789904,0.00005913177,0.0317577,0.00001425519,0.000006757736,9.159347e-8,0.000009691276,0.9463747,0.007312363,0.01371111,0.0001186321,0.00005664084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7603871,0.000004462265,0.1619317,0.0005831942,0.00001261273,0.06179809,0.0000146675,0.00004404007,0.01522411],"genre_scores_gemma":[0.9908557,1.977612e-7,0.004840555,0.00006199228,0.000005395586,0.004005924,0.000003482666,0.000003427232,0.0002233556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2304686,"threshold_uncertainty_score":0.711917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.13056600172591,"score_gpt":0.4157905125029583,"score_spread":0.2852245107770482,"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."}}