{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008259384,0.001257054,0.0005727969,0.001192685,0.0007269128,0.001122952,0.002875106,0.0006906103,0.003144619],"category_scores_gemma":[0.004221122,0.0004300478,0.000273599,0.0005904996,0.0006959806,0.001374035,0.001779163,0.001044857,0.0006608923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008321909,"about_ca_system_score_gemma":0.001117413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004828865,"about_ca_topic_score_gemma":0.004992791,"domain_scores_codex":[0.99926,0.0001180906,0.00005571996,0.0001579533,0.0002608775,0.0001472743],"domain_scores_gemma":[0.998002,0.000427193,0.0001965166,0.0004465544,0.0006121933,0.0003155382],"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":[0.002906772,0.001960197,0.02089878,0.0006601231,0.0002185473,0.002144222,0.0008225411,0.1567943,0.2338588,0.01033273,0.04366891,0.525734],"study_design_scores_gemma":[0.0003026726,0.001137579,0.009123461,0.00004654662,0.00007156884,0.001055484,0.0001647199,0.9318427,0.03925546,0.003942196,0.01285395,0.0002035943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3808769,0.001771646,0.5365016,0.0006503905,0.0006450134,0.00185401,0.001153214,0.06211732,0.01442994],"genre_scores_gemma":[0.9394959,0.0001790719,0.05650961,0.0003639329,0.0000757266,0.0003136312,0.0007059879,0.0005967895,0.001759412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004828865,"threshold_uncertainty_score":0.0105198,"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."}}