{"id":"W2077709959","doi":"10.1007/s12083-009-0052-8","title":"CliqueStream: Creating an efficient and resilient transport overlay for peer-to-peer live streaming using a clustered DHT","year":2009,"lang":"en","type":"article","venue":"Peer-to-Peer Networking and Applications","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Royal Society of Canada","keywords":"Overlay; Computer science; Computer network; Overlay network; Robustness (evolution); Distributed computing; Locality; Exploit; Redundancy (engineering); Fault tolerance; Peer-to-peer; Computer security; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000948319,0.0004674236,0.0007643044,0.0009788861,0.0008512476,0.001166738,0.002460123,0.000816719,0.003219052],"category_scores_gemma":[0.003079709,0.0005247889,0.0004379022,0.000910439,0.0005236669,0.001843151,0.002328221,0.001122131,0.000790279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008562906,"about_ca_system_score_gemma":0.001307064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005240524,"about_ca_topic_score_gemma":0.007987719,"domain_scores_codex":[0.9993994,0.00007424554,0.00004039425,0.00009097481,0.000334129,0.00006079564],"domain_scores_gemma":[0.9988341,0.0002463585,0.000056572,0.0003522808,0.0002852913,0.0002254393],"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":[0.001775592,0.001198431,0.004358973,0.0008278032,0.000341859,0.0009331136,0.0009993193,0.1093265,0.179645,0.03199718,0.08094086,0.5876553],"study_design_scores_gemma":[0.0003566149,0.0003944064,0.00117109,0.00002437144,0.0001023392,0.0003571592,0.0002051444,0.89283,0.05703447,0.006848271,0.04056134,0.0001148197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07415275,0.0004844943,0.8624613,0.0005138488,0.0005809419,0.0009714077,0.001051619,0.05422843,0.005555266],"genre_scores_gemma":[0.4239362,0.0004637215,0.5581771,0.0001878741,0.0001930058,0.0003025141,0.00337484,0.00202072,0.01134402],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005240524,"threshold_uncertainty_score":0.01076877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0261180506836522,"score_gpt":0.3073083967430387,"score_spread":0.2811903460593865,"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."}}