{"id":"W3206341804","doi":"10.1109/jsac.2021.3119144","title":"Buffer-Aware Virtual Reality Video Streaming With Personalized and Private Viewport Prediction","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Key Research and Development Program of China","keywords":"Viewport; Computer science; Virtual reality; Video streaming; Buffer (optical fiber); Multimedia; Computer network; Computer graphics (images); Human–computer interaction; 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":[0.0007607208,0.0001772512,0.0002647191,0.0001705223,0.0005552048,0.0003594346,0.0008877392,0.00007751399,0.00001179516],"category_scores_gemma":[0.000160079,0.0001569153,0.00004886559,0.000989066,0.0001147451,0.0007054302,0.0002173863,0.0008782343,0.000003351639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002308972,"about_ca_system_score_gemma":0.0005249292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003835037,"about_ca_topic_score_gemma":0.0002293995,"domain_scores_codex":[0.9975259,0.000933353,0.0005117125,0.0003111036,0.0004457652,0.0002721288],"domain_scores_gemma":[0.9972824,0.000453243,0.0002670634,0.001270857,0.0005725778,0.0001538034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009824886,0.01336965,0.1760666,0.0003537079,0.002232588,0.00195898,0.04595381,0.005745484,0.03811482,0.3261436,0.01411965,0.3749586],"study_design_scores_gemma":[0.01115016,0.002823458,0.7028844,0.003980646,0.0002974683,0.007947755,0.004360527,0.1904258,0.01426258,0.01206491,0.04757359,0.002228645],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3263052,0.001029458,0.651247,0.01891898,0.0002963532,0.0004104975,0.00004084531,0.0002373513,0.001514366],"genre_scores_gemma":[0.9814283,0.00177709,0.01592164,0.0006106506,0.0000652349,0.00002293156,0.00003598026,0.00001410931,0.0001240519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6551231,"threshold_uncertainty_score":0.639882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04789369017192728,"score_gpt":0.3278742425291593,"score_spread":0.279980552357232,"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."}}