{"id":"W4239615058","doi":"10.32920/ryerson.14654274.v1","title":"Improving Streaming Capacity In Tree & Meshed Based P2P Live Streaming Systems","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Live streaming; Computer science; Upload; Computer network; Channel (broadcasting); Shared resource; Bandwidth (computing); Channel capacity; Overlay; Tree (set theory); Channel allocation schemes; Distributed computing; Telecommunications; Wireless; Mathematics; 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":[0.001181314,0.000563794,0.00073228,0.0006323056,0.000757577,0.001218894,0.001282807,0.0009610686,0.001982867],"category_scores_gemma":[0.004764088,0.0002874451,0.0003340769,0.0008613048,0.0006878731,0.002645695,0.001610504,0.0007994054,0.0002623641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196285,"about_ca_system_score_gemma":0.0007008103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003158189,"about_ca_topic_score_gemma":0.00188719,"domain_scores_codex":[0.9992194,0.0002026699,0.00003990632,0.0001605889,0.0002231626,0.0001543501],"domain_scores_gemma":[0.99722,0.001780031,0.0001608057,0.0002517535,0.000433786,0.0001535761],"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":[0.0002350817,0.0001514246,0.0009261156,0.0001915377,0.00006017686,0.0002691508,0.0001568886,0.8709762,0.02831127,0.02101848,0.002672393,0.0750313],"study_design_scores_gemma":[0.00001025857,0.00004738942,0.0001866986,0.000006486412,0.000009803403,0.0000359148,0.00003945083,0.9892047,0.003394627,0.006274528,0.0007821599,0.000008007381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2212803,0.002003081,0.7627248,0.0008865207,0.0001349218,0.0001204308,0.0003089503,0.001065552,0.01147539],"genre_scores_gemma":[0.9532825,0.0005524712,0.04437292,0.00008013551,0.00005005798,0.00005438315,0.0001241532,0.00006943224,0.001414038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003158189,"threshold_uncertainty_score":0.008679688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04566998991519031,"score_gpt":0.247229691854953,"score_spread":0.2015597019397627,"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."}}