{"id":"W2134502414","doi":"10.1109/icc.2007.271","title":"Optimal Packet Scheduling for Multi-Description Multi-Path Video Streaming Over Wireless Networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Network packet; Video quality; Computer network; Scheduling (production processes); Wireless network; Wireless; Real-time computing; Path (computing); Channel (broadcasting); Quality of service; Multimedia; Algorithm; Telecommunications","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":[0.0006554925,0.0002369546,0.0002323532,0.0001811986,0.0003250425,0.0002795803,0.0009378579,0.0002243268,0.00000613521],"category_scores_gemma":[0.0001008812,0.0002028914,0.0001262766,0.000293038,0.00005723708,0.0006312376,0.0004344048,0.0002551467,0.000007388144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007694175,"about_ca_system_score_gemma":0.00002727777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006437362,"about_ca_topic_score_gemma":0.00004675403,"domain_scores_codex":[0.9981665,0.00002594679,0.0003728811,0.0005919983,0.0002201902,0.0006224971],"domain_scores_gemma":[0.9988343,0.0001747834,0.0001493707,0.0006127063,0.0001214412,0.0001074101],"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":[0.0001037045,0.0006975171,0.01386649,0.00008649621,0.00008281943,0.00004806106,0.0007908579,0.04864046,0.02007829,0.05552841,0.00123076,0.8588461],"study_design_scores_gemma":[0.0008914907,0.00007662884,0.003096098,0.00009052986,0.000005907358,0.000005992304,0.0003291101,0.9808186,0.01398357,0.0001099005,0.0003052199,0.0002870025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1363125,0.0002451513,0.8613015,0.00009597609,0.000509461,0.0002373708,0.000001598521,0.001248726,0.00004772682],"genre_scores_gemma":[0.5465986,0.00001956787,0.4529572,0.00009700479,0.00004708315,0.00001918752,0.000002409272,0.00001147991,0.000247397],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9321781,"threshold_uncertainty_score":0.8273672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05297361734468119,"score_gpt":0.2997093559361643,"score_spread":0.2467357385914831,"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."}}