{"id":"W1841239429","doi":"10.1002/cpe.1807","title":"Distributed re‐arrangement scheme for balancing computational load and minimizing communication delays in HLA‐based simulations","year":2011,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Distributed computing; Computer science; High-level architecture; Single point of failure; Load balancing (electrical power); Scheme (mathematics); Synchronization (alternating current); Computer network; Grid","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":[0.0008550654,0.0001194058,0.0001623004,0.0001256151,0.000408526,0.0001818955,0.0001404727,0.00005799407,0.00002874643],"category_scores_gemma":[0.001303323,0.0001155257,0.00002194081,0.0003907822,0.000156828,0.000863323,0.00007189486,0.00009688074,0.000001729989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003016373,"about_ca_system_score_gemma":0.00006836523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005898482,"about_ca_topic_score_gemma":0.00002056197,"domain_scores_codex":[0.9984823,0.0001278091,0.0005507676,0.0003861753,0.0003148941,0.0001379854],"domain_scores_gemma":[0.9959702,0.002912038,0.0003078205,0.0001818788,0.0005485652,0.00007945576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007471141,0.001362135,0.1243434,0.0001469484,0.00007384716,0.000007148222,0.1423814,0.06153128,0.001586837,0.1378257,0.002277869,0.5277163],"study_design_scores_gemma":[0.0009792867,0.00007958653,0.02118558,0.0000460893,0.00001516803,0.000004874044,0.008114847,0.9365957,0.0001288795,0.02695658,0.005692855,0.0002005302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3035473,0.0006020779,0.6939809,0.000960692,0.00003747536,0.0004555252,0.00003814998,0.00003933013,0.0003385432],"genre_scores_gemma":[0.9187035,0.00004812507,0.08070609,0.0003504804,0.000008873933,0.0001082234,0.00006351285,0.000005115384,0.000006066809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8750644,"threshold_uncertainty_score":0.4711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2020628496107767,"score_gpt":0.4506235122479565,"score_spread":0.2485606626371799,"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."}}