{"id":"W2030296220","doi":"10.1109/glocom.2014.7037547","title":"Robust resource allocation for predictive video streaming under channel uncertainty","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Channel (broadcasting); Resource allocation; Transmission (telecommunications); Quality of service; Video streaming; Channel allocation schemes; Resource management (computing); Computer network; Real-time computing; Wireless; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001068644,0.0001242882,0.0001114741,0.00005090524,0.0000715858,0.00001819577,0.00007651877,0.00007747689,0.00001062629],"category_scores_gemma":[0.0000403841,0.0001265138,0.00002982149,0.0001273193,0.00001695634,0.0001521448,0.00001374101,0.00006637168,0.000004413045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001113069,"about_ca_system_score_gemma":0.000005245076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004153572,"about_ca_topic_score_gemma":0.00002427836,"domain_scores_codex":[0.999359,0.00001519405,0.000152768,0.0001741372,0.00008652246,0.0002123965],"domain_scores_gemma":[0.999536,0.000159409,0.00003014277,0.0001636155,0.0000612549,0.00004951094],"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":[0.0000116901,0.00000597143,0.000005516114,0.00002069749,0.00001660632,2.817189e-8,0.00008400458,0.989297,0.0000753874,0.002577172,0.00115438,0.006751595],"study_design_scores_gemma":[0.000314561,0.00003537912,0.00006806972,0.00002696705,0.00001187507,4.747485e-7,0.0001536375,0.9954723,0.0004196549,0.001611708,0.001743055,0.0001423073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001115137,0.00003606779,0.9921651,0.0001015411,0.000125747,0.0002916695,0.000004735498,0.000535067,0.005624871],"genre_scores_gemma":[0.9718807,0.00001893863,0.02685058,0.0001010933,0.0003011784,0.0001127341,0.0001436525,0.00005865207,0.0005324229],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9707656,"threshold_uncertainty_score":0.5159081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320693772992992,"score_gpt":0.2048206495539137,"score_spread":0.1916137118239838,"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."}}