{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001753044,0.0001162567,0.000123674,0.0001055403,0.00007913138,0.0002300335,0.000837411,0.00006884636,0.00001533895],"category_scores_gemma":[0.00003868437,0.00009366026,0.00001904184,0.0005383773,0.00003174387,0.0003334167,0.0003678122,0.0001059231,0.00008115483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002348317,"about_ca_system_score_gemma":0.00002530605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001538926,"about_ca_topic_score_gemma":0.00001238793,"domain_scores_codex":[0.998975,0.00001327955,0.0001321536,0.0003641431,0.0001831575,0.0003322848],"domain_scores_gemma":[0.9992307,0.00002073913,0.0000283836,0.0005825885,0.00004445021,0.0000930692],"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":[0.00001261182,0.0001410661,0.001348531,0.00001376477,0.000008993759,0.00004509246,0.0001720208,0.001100981,0.001048982,0.1589619,0.200855,0.636291],"study_design_scores_gemma":[0.002809413,0.002652089,0.05772666,0.0001823069,0.0000102369,0.0002626497,0.00008370786,0.2896422,0.03577415,0.183829,0.4250617,0.001965916],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00439179,0.00001764527,0.8787463,0.02750089,0.00007818774,0.04228621,5.483539e-7,0.003302203,0.04367621],"genre_scores_gemma":[0.05810674,0.000001273538,0.912806,0.003486395,0.00005944676,0.01936938,2.620539e-7,0.000008858054,0.006161639],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6343251,"threshold_uncertainty_score":0.3819354,"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."}}