{"id":"W2096079521","doi":"10.1109/jsac.2007.071202","title":"Characterizing Peer-to-Peer Streaming Flows","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Bandwidth (computing); Peer-to-peer; Computer network; Server; Upload; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001058905,0.0003770309,0.0004042115,0.001945874,0.0004911422,0.000794015,0.0007744494,0.0006797182,0.0003080554],"category_scores_gemma":[0.00897286,0.0002041331,0.0001938014,0.001505901,0.0005246416,0.001032014,0.0005180099,0.0004970725,0.0001131943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005743196,"about_ca_system_score_gemma":0.000463637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006567888,"about_ca_topic_score_gemma":0.003394265,"domain_scores_codex":[0.9994249,0.0001200644,0.0000346118,0.0001484105,0.0002024612,0.00006958283],"domain_scores_gemma":[0.9968606,0.001675243,0.0004967399,0.0002799045,0.0005616206,0.0001258656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002269639,0.0003829438,0.230396,0.0002143372,0.0001553889,0.000989689,0.001726904,0.6364082,0.04104333,0.0141188,0.001729262,0.07260814],"study_design_scores_gemma":[0.000008576186,0.00004412788,0.03486384,0.00001168158,0.00001249613,0.0002146987,0.0003656584,0.9545041,0.00336442,0.005482787,0.00110654,0.00002102594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9479442,0.0001902023,0.04934742,0.0001107726,0.00001143305,0.0001111627,0.0007722751,0.0002492046,0.001263461],"genre_scores_gemma":[0.9878654,0.0001208006,0.01101622,0.00001128802,0.00001227751,0.00005211346,0.0007011837,0.00001930237,0.0002015055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006567888,"threshold_uncertainty_score":0.01305932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03760522511063882,"score_gpt":0.3140759051133283,"score_spread":0.2764706800026895,"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."}}