{"id":"W3010735980","doi":"10.1109/access.2020.2982193","title":"HDA Video Transmission Scheme for DASH","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Shanxi University; National Natural Science Foundation of China","keywords":"Dynamic Adaptive Streaming over HTTP; Computer science; Dash; Retransmission; Multimedia; Computer network; Quality of experience; Video quality; Bandwidth (computing); Transmission (telecommunications); Channel (broadcasting); Quality of service; The Internet; Real-time computing; Network packet; Telecommunications; World Wide Web","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":[0.0001715314,0.0001106504,0.0001477615,0.00002957698,0.0001130369,0.0004150174,0.001434354,0.00004559106,0.00002677192],"category_scores_gemma":[0.00002557904,0.0000988383,0.00008639051,0.0002627234,0.00001559151,0.001365674,0.0001213552,0.00009120072,0.00003771354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001616565,"about_ca_system_score_gemma":0.00007769076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001772148,"about_ca_topic_score_gemma":0.000001224965,"domain_scores_codex":[0.9989217,0.00003762516,0.000207839,0.0003703547,0.0002263611,0.000236105],"domain_scores_gemma":[0.9993265,0.00009096885,0.00005958406,0.0002988394,0.00007228151,0.0001518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001286851,0.0003573396,0.001061633,0.000822521,0.0001058229,0.00006510187,0.005746547,0.0002747568,0.09446134,0.02939517,0.2326198,0.6349612],"study_design_scores_gemma":[0.001758557,0.0002893299,0.0007477321,0.0000693803,0.00001909415,0.000004419643,0.00004336207,0.2567261,0.3565317,0.007275826,0.3759339,0.0006005882],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004588725,0.000073551,0.9779279,0.01600431,0.0002690462,0.0002559308,0.00000337081,0.0001666017,0.0007105241],"genre_scores_gemma":[0.8678296,0.00002213466,0.1153362,0.01606362,0.0004482733,0.00007684632,0.000005804077,0.0000180902,0.0001993597],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8632409,"threshold_uncertainty_score":0.4030509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1191549586755566,"score_gpt":0.3849371677042221,"score_spread":0.2657822090286655,"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."}}