{"id":"W2560629879","doi":"10.1109/mascots.2016.63","title":"Parallel HTTP for Video Streaming in Wireless Networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Computer network; Latency (audio); Wireless network; Compound TCP; Packet loss; Network packet; Real-time computing; Zeta-TCP; Wireless; Operating system; Network congestion; 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":[0.0009523219,0.001039422,0.0007162502,0.001060872,0.0006262966,0.001786787,0.001491005,0.00146338,0.009060195],"category_scores_gemma":[0.002915697,0.0004149371,0.0004820125,0.00172645,0.0007771864,0.002408766,0.001077401,0.001882204,0.004621575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007821014,"about_ca_system_score_gemma":0.0007049876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001075977,"about_ca_topic_score_gemma":0.001114696,"domain_scores_codex":[0.9987571,0.0003034064,0.00009822398,0.0001477825,0.0006039659,0.00008952372],"domain_scores_gemma":[0.999275,0.0002975217,0.00008762068,0.0001520562,0.0001482813,0.00003938368],"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":[0.0005355864,0.0002818237,0.001813087,0.001611699,0.0001601097,0.001377365,0.0003952363,0.06947707,0.04850449,0.3622983,0.08188817,0.4316571],"study_design_scores_gemma":[0.000171332,0.0003317459,0.001622634,0.0004804492,0.00008099273,0.001301374,0.0001290204,0.5213674,0.02211287,0.180305,0.2719503,0.0001467952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009352759,0.01028339,0.9262814,0.001283237,0.000985445,0.0007062469,0.001044714,0.008769562,0.04129324],"genre_scores_gemma":[0.2926928,0.01547735,0.6441121,0.001163379,0.001349285,0.002422793,0.003158494,0.002420304,0.03720349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009060195,"threshold_uncertainty_score":0.03030938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02757051445732318,"score_gpt":0.2994791453922886,"score_spread":0.2719086309349654,"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."}}