{"id":"W4413886811","doi":"10.1109/meditcom64437.2025.11104483","title":"QUIC Adaptive Video Streaming Performance with 5G RAN Queue Management","year":2025,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Agencia Nacional de Investigación y Desarrollo; Universidad de Chile","keywords":"Computer science; Computer network; Video streaming; Ran; Queue","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":[0.00109995,0.0005235276,0.0003275246,0.0005358983,0.0004158306,0.0008557857,0.0006825078,0.0004257167,0.0007954058],"category_scores_gemma":[0.003210089,0.0001455351,0.0001955926,0.0005838906,0.0004156477,0.0005946088,0.0003629885,0.0005133895,0.0001158696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009372896,"about_ca_system_score_gemma":0.0008903408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01146729,"about_ca_topic_score_gemma":0.0102299,"domain_scores_codex":[0.9993846,0.0001053689,0.00002790192,0.0001110844,0.0002036583,0.0001673834],"domain_scores_gemma":[0.9986402,0.0005198756,0.0001279035,0.0001325513,0.0005020379,0.00007746793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001880971,0.0007859809,0.0384396,0.0002478205,0.000185832,0.0006726096,0.0002701915,0.7230304,0.1405694,0.007061487,0.00170584,0.08514979],"study_design_scores_gemma":[0.00003292784,0.0007684038,0.01742447,0.00001778602,0.00006664987,0.0001436129,0.0001309466,0.9600128,0.01970221,0.0009603528,0.0006891164,0.0000507691],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697304,0.000432028,0.02366883,0.0001384941,0.00004707904,0.00009136256,0.0001882948,0.0006143786,0.005089221],"genre_scores_gemma":[0.9972088,0.00005707601,0.002335896,0.000033115,0.000005912941,0.00001299911,0.00007110937,0.00001203439,0.0002631266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01146729,"threshold_uncertainty_score":0.0228011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126050925813367,"score_gpt":0.2629083566976735,"score_spread":0.2503032641163368,"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."}}