{"id":"W2018800372","doi":"10.1016/j.comcom.2012.05.012","title":"Understanding the impact of neighboring strategy in peer-to-peer multimedia streaming applications","year":2012,"lang":"en","type":"article","venue":"Computer Communications","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Overlay; Network packet; Computer network; Overlay network; Peer-to-peer; Scheme (mathematics); Tree (set theory); Distributed computing; Swarm behaviour; Multimedia; The Internet; World Wide Web; Artificial intelligence","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":[0.001075371,0.0003875735,0.000560266,0.0003829516,0.0005421981,0.00129779,0.0009189043,0.0009500613,0.001650534],"category_scores_gemma":[0.01228347,0.0002945143,0.0001462831,0.0003549057,0.0005352555,0.003103485,0.0006016513,0.0007197469,0.0002059179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006979161,"about_ca_system_score_gemma":0.0006696003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003918744,"about_ca_topic_score_gemma":0.003853732,"domain_scores_codex":[0.9993642,0.0002375753,0.00002356978,0.0000949001,0.0001810008,0.00009881517],"domain_scores_gemma":[0.9929754,0.005243151,0.0004241543,0.000261656,0.0007480257,0.0003476944],"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":[0.0009821821,0.001209748,0.02776038,0.0003086912,0.0001479561,0.001121201,0.0009071956,0.6700997,0.1168158,0.06255212,0.002125014,0.11597],"study_design_scores_gemma":[0.00001681097,0.0001660266,0.003797554,0.00000821272,0.00003742001,0.0001096826,0.0003614245,0.979166,0.004583865,0.01131987,0.0004173738,0.0000158677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9302412,0.001219521,0.05972146,0.0005883093,0.00006357489,0.00004760041,0.00005120931,0.0001321642,0.007935047],"genre_scores_gemma":[0.9972575,0.0001900177,0.00212279,0.00001701935,0.00001585121,0.00000491878,0.00001521859,0.00001371447,0.0003631071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003918744,"threshold_uncertainty_score":0.007791877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1404437713445838,"score_gpt":0.3509936963397197,"score_spread":0.2105499249951359,"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."}}