{"id":"W2002724791","doi":"10.1109/jsac.2014.140411","title":"A Real-Time Adaptive Algorithm for Video Streaming over Multiple Wireless Access Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Computer network; Quality of service; Video quality; Codec; Wireless network; Wireless; Testbed; Real-time computing; Transcoding; Computer hardware; Telecommunications","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":[0.0008859679,0.0007397038,0.0006449816,0.0003889828,0.0004120715,0.0004429935,0.001037406,0.0008307821,0.001556794],"category_scores_gemma":[0.002634455,0.0001963833,0.0003625277,0.0004278641,0.0005178351,0.0005940639,0.0005254028,0.001184177,0.0002350126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00055583,"about_ca_system_score_gemma":0.001063203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003905782,"about_ca_topic_score_gemma":0.002869661,"domain_scores_codex":[0.9996359,0.0001008391,0.00002002941,0.00007955955,0.0001192132,0.00004442944],"domain_scores_gemma":[0.9993402,0.0004083878,0.00007682254,0.000027794,0.0001134462,0.00003327477],"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":[0.000104639,0.00008453835,0.0003552368,0.00005698823,0.00002950944,0.00005862601,0.000046497,0.8871881,0.003608563,0.007951749,0.0009400211,0.09957557],"study_design_scores_gemma":[0.000007400928,0.00002188043,0.00002421569,0.000001429736,0.000002090885,0.000008737507,0.000001834442,0.9991608,0.000186672,0.0004201279,0.0001630902,0.000001815911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01219779,0.0003021376,0.9853894,0.0001292772,0.00006359901,0.00007244037,0.00001252122,0.0002608822,0.001571935],"genre_scores_gemma":[0.68523,0.0004950174,0.3102062,0.0001531121,0.00009165001,0.0003790232,0.00007007762,0.00005268978,0.003322233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003905782,"threshold_uncertainty_score":0.007766068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01861151723212293,"score_gpt":0.2759683216128784,"score_spread":0.2573568043807555,"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."}}