{"id":"W4245021091","doi":"10.1109/simsym.2004.1299488","title":"Scalability and performance evaluation of an aggregation/disaggregation scheme for data distribution management in large-scale distributed interactive systems","year":2004,"lang":"en","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Scalability; Computer science; Interoperability; Distributed computing; High-level architecture; Consistency (knowledge bases); Reuse; Scheme (mathematics); Implementation; Distributed Interactive Simulation; Scale (ratio); Data aggregator; Database; Software engineering; Computer network; Operating system; Artificial intelligence","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":[0.002165854,0.0001261713,0.0001706293,0.0001142007,0.00008280513,0.00009789348,0.0007871836,0.00007176732,8.874321e-7],"category_scores_gemma":[0.0002149687,0.0001202504,0.00001500797,0.0006736529,0.00004685535,0.00177049,0.0005876948,0.00007759721,0.000001709277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004187723,"about_ca_system_score_gemma":0.00005111786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006214264,"about_ca_topic_score_gemma":0.00021941,"domain_scores_codex":[0.998287,0.00007345837,0.0003779809,0.0005813818,0.0004466457,0.0002334832],"domain_scores_gemma":[0.9983076,0.00005195833,0.0001650109,0.001064068,0.0003631786,0.00004818859],"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":[0.0002294237,0.001204962,0.03413403,0.0003809022,0.0000990394,0.000001684629,0.001100454,0.06618913,0.0002775128,0.05393641,0.0003503869,0.8420961],"study_design_scores_gemma":[0.001119748,0.0001244819,0.0887119,0.0001261507,0.00001548443,0.00000213515,0.0002956551,0.90485,0.001719358,0.002812876,0.00009410994,0.0001280812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4988272,0.00003068351,0.4996483,0.0003021923,0.00007614435,0.0008794256,0.0001300155,0.00008493743,0.00002101913],"genre_scores_gemma":[0.9306624,0.00001017415,0.06791222,0.000009780308,0.00001206175,0.0001911668,0.001193698,0.000004274475,0.000004238654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.841968,"threshold_uncertainty_score":0.4903669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03602926113987373,"score_gpt":0.3109959054751281,"score_spread":0.2749666443352543,"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."}}