{"id":"W4408703993","doi":"10.1145/3715675.3715843","title":"What Makes QUIC Configurations Better for Streaming?","year":2025,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002177873,0.001077796,0.0008865214,0.001049771,0.001005597,0.003791034,0.002693646,0.001776771,0.009665696],"category_scores_gemma":[0.01595522,0.0005750415,0.0004040381,0.0008675519,0.001224232,0.00799216,0.001582303,0.002248882,0.003831217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096226,"about_ca_system_score_gemma":0.001153309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003193538,"about_ca_topic_score_gemma":0.004664421,"domain_scores_codex":[0.9980732,0.0003997626,0.000127647,0.0004036292,0.0005766851,0.0004190407],"domain_scores_gemma":[0.9941679,0.001524784,0.0003971623,0.001290333,0.001764931,0.0008548699],"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":[0.002800879,0.00152455,0.0306581,0.001705486,0.0002484148,0.001677774,0.001517214,0.03906475,0.1065638,0.04287945,0.09089509,0.6804644],"study_design_scores_gemma":[0.0009327757,0.004573141,0.04965967,0.002648762,0.000585023,0.005940207,0.005602999,0.3958923,0.1127014,0.1011063,0.3193306,0.001026817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5589935,0.0229847,0.2286961,0.02740048,0.005324776,0.00145376,0.003250037,0.04056065,0.1113361],"genre_scores_gemma":[0.9133897,0.003512675,0.066025,0.00417114,0.0009774184,0.0003496625,0.001865851,0.002922933,0.006785547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009665696,"threshold_uncertainty_score":0.03233498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830352703834228,"score_gpt":0.2873155887565124,"score_spread":0.2690120617181702,"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."}}