{"id":"W2114774737","doi":"10.1109/icise.2009.1156","title":"Tambour: A Scalable and Robust DHT Protocol","year":2009,"lang":"en","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Distributed hash table; Hash table; Scalability; Latency (audio); Routing table; Computer network; Distributed computing; Robustness (evolution); Routing protocol; Lookup table; Peer-to-peer; Hash function; Routing (electronic design automation)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001713532,0.000512893,0.0009216584,0.001390475,0.0008834262,0.001830575,0.003348058,0.001228013,0.003574873],"category_scores_gemma":[0.005272984,0.0004508548,0.0004803812,0.001380516,0.0008001731,0.003680921,0.003013794,0.001020666,0.001735547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007423894,"about_ca_system_score_gemma":0.0009524513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001182951,"about_ca_topic_score_gemma":0.001016298,"domain_scores_codex":[0.9987238,0.0002660717,0.0001345972,0.0001822296,0.0005885391,0.0001047634],"domain_scores_gemma":[0.9979539,0.0005072746,0.0002555831,0.0007014908,0.0004240209,0.0001577572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002015099,0.0002962297,0.002830785,0.002036645,0.0003554441,0.001463352,0.001065815,0.05759369,0.0903245,0.1010219,0.08424851,0.656748],"study_design_scores_gemma":[0.001023295,0.001286698,0.001808458,0.0001970774,0.0004116768,0.003619123,0.0006034747,0.3711298,0.08298589,0.06725234,0.4692411,0.000441004],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02148212,0.002539949,0.946759,0.0005896597,0.0005783622,0.0009664606,0.001630006,0.01613666,0.009317732],"genre_scores_gemma":[0.5366979,0.003052128,0.4331627,0.0006734694,0.0005978182,0.001279451,0.007710872,0.001460318,0.01536525],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003574873,"threshold_uncertainty_score":0.01195914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663713765960059,"score_gpt":0.2575493082852298,"score_spread":0.2409121706256292,"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."}}