{"id":"W2159414163","doi":"10.1109/anss-41.2008.22","title":"A Novel Optimized Caching Technique for Mobile Gnutella Based Network to Support Large-Scale Collaborative Virtual Environment","year":2008,"lang":"en","type":"article","venue":"Proceedings - Simulation Symposium/Proceedings of the ... annual Simulation Symposium","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer network; Wireless ad hoc network; Distributed computing; Mobile ad hoc network; Overlay network; Routing protocol; Virtual network; Routing (electronic design automation); World Wide Web; The Internet; Wireless","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00164161,0.0007526296,0.0008761542,0.0004703075,0.001376357,0.0003724636,0.00170076,0.0004029496,0.00001515565],"category_scores_gemma":[0.0001552568,0.0006872957,0.0005084201,0.001669366,0.0001499419,0.002295675,0.000797,0.0004223211,0.00001566432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004120708,"about_ca_system_score_gemma":0.0001980747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001376124,"about_ca_topic_score_gemma":7.955358e-7,"domain_scores_codex":[0.9946821,0.00002843777,0.001444783,0.001420575,0.001403292,0.001020781],"domain_scores_gemma":[0.9948152,0.000578097,0.001220782,0.0004216105,0.002580061,0.000384252],"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":[0.0005138608,0.0003355854,0.001449285,0.00008373686,0.00006013454,4.092068e-7,0.00552862,0.8664048,0.1231576,0.001493866,0.0008804123,0.00009165927],"study_design_scores_gemma":[0.003475554,0.001253709,0.0002801411,0.0002239277,0.0001116157,0.00001722904,0.0009291765,0.9567969,0.02337928,0.0001469209,0.01243777,0.0009477887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1333294,0.00003343897,0.8553571,0.001489246,0.0006467002,0.006465125,0.0002986144,0.0005643658,0.001815989],"genre_scores_gemma":[0.961619,0.00001392287,0.03506056,0.0009818194,0.0004393724,0.0008286003,0.00003351428,0.0001038472,0.0009193785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8282896,"threshold_uncertainty_score":0.9999237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386288704651251,"score_gpt":0.2491295082806998,"score_spread":0.2352666212341873,"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."}}