{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002891527,0.001769018,0.001809835,0.0009463446,0.00193767,0.002225284,0.003002884,0.00122591,0.006208428],"category_scores_gemma":[0.01175104,0.0006012078,0.0006081118,0.001151094,0.001064016,0.003906838,0.00269406,0.002255342,0.000801532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002248293,"about_ca_system_score_gemma":0.003506516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01080949,"about_ca_topic_score_gemma":0.01087682,"domain_scores_codex":[0.9979107,0.0005183175,0.00007614826,0.0003293505,0.0004371905,0.0007283515],"domain_scores_gemma":[0.9923785,0.004705238,0.0004615012,0.0007125954,0.001046629,0.0006955652],"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":[0.001284385,0.001286161,0.003910413,0.0004690144,0.00009954288,0.0003363313,0.0004079833,0.8167804,0.01292925,0.02552846,0.01493415,0.122034],"study_design_scores_gemma":[0.00005255186,0.00008429193,0.0002625857,0.000008106719,0.00001677408,0.00004841263,0.0001176429,0.9914464,0.001229295,0.006018678,0.0007069907,0.000008240265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.224749,0.001991692,0.7466743,0.002255069,0.0002614304,0.0006415655,0.0005485904,0.003862093,0.01901631],"genre_scores_gemma":[0.8741624,0.0003836558,0.1196108,0.0002053268,0.0001218352,0.00029104,0.0003635232,0.0004143714,0.004447076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01080949,"threshold_uncertainty_score":0.02149314,"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."}}