{"id":"W2180873154","doi":"10.1142/s0219265904001179","title":"AN EFFICIENT CLUSTERED ARCHITECTURE FOR P2P NETWORKS","year":2004,"lang":"en","type":"article","venue":"Journal of Interconnection Networks","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Scalability; Distributed computing; Flooding (psychology); Computer network; Peer-to-peer; Overlay network; Fault tolerance; Anonymity; Architecture; Load balancing (electrical power); Routing protocol; Network topology; Protocol (science); Routing (electronic design automation); Computer security; The Internet; World Wide Web","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":[0.001023788,0.0002897458,0.0004372234,0.0005091147,0.0002040041,0.0003223862,0.00182199,0.0002863416,0.000004790063],"category_scores_gemma":[0.0001830482,0.0002438656,0.0003038739,0.0008331934,0.00005961662,0.0004155307,0.0002370678,0.0007908667,0.000003796884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003103716,"about_ca_system_score_gemma":0.0000778023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008775803,"about_ca_topic_score_gemma":0.00008134466,"domain_scores_codex":[0.9977568,0.00009240595,0.0007993676,0.0004201881,0.0003352893,0.0005959274],"domain_scores_gemma":[0.9977538,0.0002239448,0.000554767,0.0006843329,0.0005036934,0.0002794359],"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":[0.0001310711,0.0001147888,0.00002405358,0.000004555243,0.00005243776,0.00002024169,0.000308873,0.9263195,0.0001333479,0.003107672,0.002692179,0.06709131],"study_design_scores_gemma":[0.001725553,0.002726608,0.0003567431,0.0003144647,0.0000339474,0.0009573675,0.0001690858,0.9796206,0.0007539529,0.007033341,0.005878394,0.0004299789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04779368,0.0003384851,0.942987,0.004252967,0.00392495,0.0003545335,0.000001074434,0.000281955,0.00006541005],"genre_scores_gemma":[0.8766897,0.00002330623,0.1208003,0.001134824,0.001283022,0.00001982981,0.000001738205,0.00002740668,0.00001985236],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.828896,"threshold_uncertainty_score":0.9944551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049723298505587,"score_gpt":0.2581609952047771,"score_spread":0.2476637622197213,"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."}}