{"id":"W4409118134","doi":"10.1145/3712678.3721875","title":"CAQ: Connection-Aware Adaptive QUIC Configurations for Enhanced Video Streaming","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":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Connection (principal bundle); Video streaming; Computer network; Server; Multimedia; Engineering","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":[0.00016616,0.0001048819,0.000137064,0.00009712048,0.000279769,0.0001801918,0.0003082638,0.00004430301,0.00004268768],"category_scores_gemma":[0.00006865303,0.00009847212,0.00007108406,0.0002928902,0.00002493147,0.0004954552,0.0000736933,0.00006509126,0.00001947801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000739976,"about_ca_system_score_gemma":0.0002353958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001891841,"about_ca_topic_score_gemma":0.0002695366,"domain_scores_codex":[0.9990861,0.00004851499,0.00022772,0.0003230731,0.0001119123,0.0002026774],"domain_scores_gemma":[0.9988914,0.000426244,0.000057661,0.0003362535,0.000249478,0.00003899196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001025351,0.00007603087,0.00001211787,0.00002673813,0.00005871764,0.000001037308,0.0006391709,0.0001420816,0.009189483,0.9483848,0.007240958,0.03421859],"study_design_scores_gemma":[0.002088932,0.0004641011,0.001284187,0.0001654921,0.0000553208,0.000003465272,0.005655639,0.3045573,0.6164539,0.04669745,0.02191225,0.000661971],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008092319,0.00002525045,0.9775988,0.002809473,0.0004041108,0.0003791183,0.000007227712,0.0001764799,0.01779032],"genre_scores_gemma":[0.9593155,0.000003421856,0.0331819,0.001540965,0.00004207648,0.0001714309,0.000009316635,0.000003853519,0.005731573],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9585062,"threshold_uncertainty_score":0.4015577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02679670366071445,"score_gpt":0.3307722021481264,"score_spread":0.3039754984874119,"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."}}