{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004966905,0.0004905386,0.0004014483,0.0005293455,0.0006835721,0.0008854408,0.0009049079,0.0004984171,0.004464917],"category_scores_gemma":[0.000989757,0.0001174314,0.0002919031,0.0004242021,0.0003349294,0.001012922,0.0006712647,0.0006202768,0.0007679533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000514948,"about_ca_system_score_gemma":0.000416474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001251767,"about_ca_topic_score_gemma":0.001159526,"domain_scores_codex":[0.9995574,0.00009711824,0.00003853386,0.00008923203,0.0001674339,0.00005028784],"domain_scores_gemma":[0.9993314,0.0001208708,0.00006498804,0.0001380785,0.0002833382,0.00006139182],"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":[0.001528249,0.0007864599,0.004452678,0.0007227341,0.0001434598,0.0006651766,0.0004675592,0.02683839,0.3228247,0.03941404,0.009556066,0.5926005],"study_design_scores_gemma":[0.0003755088,0.002126494,0.00667713,0.00009859711,0.0002251559,0.002204014,0.0005671247,0.7068259,0.1903973,0.01358282,0.0767353,0.0001847971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2086725,0.002056918,0.7462276,0.0007660522,0.0007100517,0.0008168512,0.0005192967,0.003336634,0.036894],"genre_scores_gemma":[0.8525597,0.0006074093,0.128766,0.0004246021,0.0001635565,0.0002587002,0.0004235195,0.00006942976,0.01672706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004464917,"threshold_uncertainty_score":0.01493669,"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."}}