{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003449693,0.0002872784,0.0003725184,0.0003066249,0.0003391543,0.0001494038,0.001059533,0.0001606579,0.00001326575],"category_scores_gemma":[0.0001403437,0.0003108474,0.00008943205,0.0009729813,0.00006509174,0.0005469992,0.0000812845,0.0008799436,0.000005506896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004304801,"about_ca_system_score_gemma":0.00005356882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002506654,"about_ca_topic_score_gemma":0.0001933775,"domain_scores_codex":[0.9982355,0.0002575095,0.0006068769,0.0002159634,0.0002028168,0.000481387],"domain_scores_gemma":[0.9964257,0.001929714,0.0002560819,0.0008625517,0.0003738863,0.0001519932],"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":[0.00003316575,0.00009872299,0.0003695327,0.000003630576,0.00006323482,0.000001247517,0.00008354888,0.9393072,0.0004932433,0.0001304498,0.001115853,0.0583002],"study_design_scores_gemma":[0.001110511,0.00008151341,0.001664897,0.0002735298,0.00002724399,0.00001936071,0.00001910098,0.9950857,0.0002399261,0.0003139405,0.0008434978,0.0003208082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02157149,0.0001726728,0.9759598,0.00006701682,0.0003158115,0.0005075388,0.00002735756,0.0003347617,0.001043504],"genre_scores_gemma":[0.8955947,0.00223867,0.1012501,0.00006715563,0.0004019855,0.0001764497,0.0001040375,0.0001280663,0.00003885492],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8747098,"threshold_uncertainty_score":0.9999344,"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."}}