{"id":"W4412722190","doi":"10.1109/tnse.2025.3593299","title":"Hierarchical Forwarding Resource Allocation With Proactive Frame Dropping for VR Video Streaming","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Network Science and Engineering","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; University of British Columbia","funders":"","keywords":"Computer science; Computer network; Video streaming; Frame (networking); Resource allocation; Real-time computing","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":[],"consensus_categories":[],"category_scores_codex":[0.0006845068,0.0001383322,0.0001394769,0.0002401026,0.000641041,0.0003046023,0.0003328924,0.00004383139,3.515355e-7],"category_scores_gemma":[0.00001625029,0.000125636,0.00003574139,0.001210795,0.00009203309,0.0008079011,0.000007742417,0.0002171118,4.550776e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001315487,"about_ca_system_score_gemma":0.0001953859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008660764,"about_ca_topic_score_gemma":0.000005460729,"domain_scores_codex":[0.9986737,0.00001644236,0.0001668031,0.0004382117,0.0002903516,0.000414529],"domain_scores_gemma":[0.9992591,0.0002558883,0.00003242581,0.0002626294,0.0001038187,0.00008616428],"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":[0.0000297028,0.00004731057,0.000009123039,0.00006835606,0.00005189202,0.000001793431,0.000863431,0.7879,0.003774991,0.01630663,0.00006405984,0.1908827],"study_design_scores_gemma":[0.0002765086,0.0001357823,0.0001959052,0.0002570275,0.00002154485,0.000005920986,0.00014196,0.986196,0.01004434,0.0002936999,0.002235315,0.0001959796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005211894,0.00003173713,0.9929642,0.000766626,0.0002374774,0.0003032029,9.171292e-7,0.0001376924,0.0003462267],"genre_scores_gemma":[0.9126999,0.000008366153,0.08676326,0.0002896418,0.00005105015,0.0001030633,3.662761e-7,0.000007308537,0.00007701453],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.907488,"threshold_uncertainty_score":0.5123286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091453767714301,"score_gpt":0.252467645770228,"score_spread":0.241553108093085,"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."}}