{"id":"W1981221062","doi":"10.1109/ds-rt.2010.37","title":"Global Lookahead Management (GLM) Protocol for Conservative DEVS Simulation","year":2010,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Asynchronous communication; DEVS; Snapshot (computer storage); Bottleneck; Correctness; Distributed computing; Multiprocessing; Synchronization (alternating current); Protocol (science); Parallel computing; Computer network; Algorithm; Modeling and simulation; Operating system; Embedded 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008345481,0.0001031017,0.0001224146,0.00007409207,0.0001869728,0.0001819221,0.0004034787,0.0000734315,0.001084134],"category_scores_gemma":[0.0003516779,0.00007422348,0.00008195461,0.0005627137,0.00006332816,0.0002032573,0.00007792041,0.00004992181,0.0001718624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002465797,"about_ca_system_score_gemma":0.00003132243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001395235,"about_ca_topic_score_gemma":0.00008130088,"domain_scores_codex":[0.9984726,0.00002405868,0.0004773406,0.000363704,0.0005060676,0.0001562839],"domain_scores_gemma":[0.9980331,0.0006845625,0.0001636606,0.000517577,0.000528285,0.00007282339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008759932,0.0001498061,0.01419338,0.000009704994,0.00001258931,4.144126e-7,0.00004141125,0.004670214,0.0001198673,0.7784237,0.04422495,0.1580664],"study_design_scores_gemma":[0.0006220197,0.0000344058,0.01457997,0.000002917655,0.000003706602,4.35555e-7,0.00006630315,0.116165,0.0004542995,0.260644,0.6073216,0.0001053758],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002348829,1.11556e-7,0.7837024,0.0009214035,0.00005269975,0.1385412,0.00002346651,0.0001822128,0.07422768],"genre_scores_gemma":[0.4935992,3.218018e-8,0.1309915,0.0009209362,0.00008108251,0.3656946,0.000007457425,0.000009322405,0.00869595],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.652711,"threshold_uncertainty_score":0.999829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2450902763512296,"score_gpt":0.5668600247779836,"score_spread":0.321769748426754,"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."}}