{"id":"W2151996881","doi":"10.1109/icme.2011.6012225","title":"A rate control algorithm for ×264 high definition video conferencing","year":2011,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Codec; Computer science; Encoder; Videoconferencing; Bandwidth (computing); Video quality; High-definition video; Algorithm; Real-time computing; Video streaming; Computer network; Multimedia; Computer hardware; 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":[0.001326495,0.0009020478,0.0006420048,0.0008886203,0.0005833688,0.0009684201,0.001485237,0.0009671329,0.00310799],"category_scores_gemma":[0.003012303,0.0002554437,0.000448901,0.0005861832,0.0004173619,0.0009563427,0.0005354027,0.001631469,0.001796682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007175421,"about_ca_system_score_gemma":0.0008637918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002187899,"about_ca_topic_score_gemma":0.001958806,"domain_scores_codex":[0.998989,0.0001207233,0.00008758523,0.0002422734,0.0005079238,0.00005253944],"domain_scores_gemma":[0.9991036,0.0001988488,0.0001053534,0.0001113555,0.0004421193,0.00003863188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003559623,0.0002054197,0.0006643253,0.0001949795,0.00006055795,0.0001754113,0.0001626176,0.03826306,0.1151245,0.01961805,0.007182826,0.8179923],"study_design_scores_gemma":[0.0001453782,0.0004485619,0.001116952,0.00005549927,0.00007629921,0.0009097758,0.00004029745,0.8362475,0.1267291,0.004017796,0.03009673,0.0001161878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002677609,0.0003047834,0.9942954,0.00007147516,0.0001190661,0.0001235101,0.00003003641,0.00119994,0.001178183],"genre_scores_gemma":[0.1803729,0.0007887106,0.8092005,0.0002075189,0.0002577305,0.000389746,0.0003093847,0.0003136566,0.008159894],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00310799,"threshold_uncertainty_score":0.01039726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0890448437109137,"score_gpt":0.2471736235315126,"score_spread":0.1581287798205989,"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."}}