{"id":"W2562954379","doi":"10.1109/tmm.2016.2646182","title":"Live Broadcast With Community Interactions: Bottlenecks and Optimizations","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Multimedia","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Fundamental Research Funds for the Central Universities","keywords":"Computer science; Cloud computing; Multimedia; Amateur; Latency (audio); Synchronization (alternating current); Bandwidth (computing); Context (archaeology); Live streaming; Computer network; Telecommunications; Operating system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003411819,0.0001368164,0.0001464216,0.0002123347,0.001293243,0.00004170873,0.0003181211,0.0001315659,0.0009188067],"category_scores_gemma":[0.0001022894,0.000100963,0.00004182328,0.0002609417,0.0008933503,0.0003060499,0.000003973508,0.0004613237,0.0002035157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001095933,"about_ca_system_score_gemma":0.00009890005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001763897,"about_ca_topic_score_gemma":0.01302574,"domain_scores_codex":[0.9987325,0.0004299767,0.0001856127,0.000177767,0.0002327177,0.0002414416],"domain_scores_gemma":[0.9977098,0.001335432,0.0000790768,0.0004966487,0.0002086594,0.000170417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001421076,0.001003193,0.0006712746,0.00001009649,0.0001455296,0.000003431785,0.03907637,0.0002542961,0.001519014,0.001002151,0.0006333276,0.9555392],"study_design_scores_gemma":[0.02542036,0.002672107,0.01201935,0.002322976,0.0008868802,0.0001756457,0.1791438,0.02976441,0.03519259,0.003636901,0.7036638,0.005101188],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08245688,0.00009773317,0.8738801,0.02198139,0.0009957995,0.00108424,0.0001695103,0.001192679,0.01814163],"genre_scores_gemma":[0.9777147,0.0008347744,0.01738455,0.0001709531,0.00003296131,0.000123746,0.000004581632,0.00001957555,0.003714124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.950438,"threshold_uncertainty_score":0.9999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03591970123785901,"score_gpt":0.3116457386577697,"score_spread":0.2757260374199108,"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."}}