{"id":"W2069213416","doi":"10.1109/iscas.2010.5537739","title":"Streaming capacity in multi-channel P2P VoD systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Channel (broadcasting); Upload; Computer network; Bandwidth (computing); Shared resource; Channel capacity; Channel allocation schemes; Video on demand; Telecommunications; Wireless; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003767939,0.0001501201,0.0001842986,0.0002410661,0.00005912164,0.0001667206,0.001479454,0.0001564388,0.000002572299],"category_scores_gemma":[0.0001585741,0.0001319635,0.00003023313,0.0006111211,0.00004646113,0.0003292118,0.000588158,0.0003898565,0.000111237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004476903,"about_ca_system_score_gemma":0.00002590691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0011107,"about_ca_topic_score_gemma":0.003691718,"domain_scores_codex":[0.9986671,0.00002505561,0.0002236622,0.0004344476,0.000217486,0.0004322181],"domain_scores_gemma":[0.9988363,0.00007725501,0.00004794743,0.0008874796,0.00006217356,0.00008877812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001775508,0.001515619,0.04888256,0.0002060462,0.0001119443,0.0005014365,0.009336404,0.0401613,0.08903678,0.5623661,0.02680311,0.2210609],"study_design_scores_gemma":[0.0005429036,0.00007122476,0.02177861,0.00005847661,0.000002213361,0.00004968524,0.0002914931,0.9620101,0.009096341,0.002011174,0.003535635,0.0005521306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3999634,0.0000265062,0.5941497,0.00102628,0.001347563,0.0002642221,0.000001781412,0.001199171,0.002021326],"genre_scores_gemma":[0.9016219,0.000001220937,0.09766689,0.00009125819,0.00003731706,0.00003315029,3.984599e-7,0.000007293544,0.0005405921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9218488,"threshold_uncertainty_score":0.5381315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05474572862012204,"score_gpt":0.2521656310215938,"score_spread":0.1974199024014718,"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."}}