{"id":"W4405362465","doi":"10.1109/twc.2024.3513221","title":"Viewport Prediction, Bitrate Selection, and Beamforming Design for THz-Enabled 360° Video Streaming","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Viewport; Computer science; Beamforming; Selection (genetic algorithm); Degree (music); Computer graphics (images); Telecommunications; Artificial intelligence","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":[0.0007645251,0.0006215735,0.0006311526,0.000258596,0.0002474321,0.000582267,0.0009768435,0.000655142,0.001197321],"category_scores_gemma":[0.001965338,0.0003379424,0.0003574459,0.0002604684,0.0004310435,0.0008001934,0.0006677595,0.001015316,0.0002782511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006022778,"about_ca_system_score_gemma":0.0008495779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003932554,"about_ca_topic_score_gemma":0.00331579,"domain_scores_codex":[0.9996156,0.00009594604,0.0000171663,0.0001092811,0.0001015636,0.00006051651],"domain_scores_gemma":[0.9994215,0.0002613091,0.00008266125,0.00004461214,0.0001378969,0.00005210939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001345185,0.00007574169,0.001129971,0.00005365014,0.00002479025,0.0000839128,0.00007158807,0.896687,0.01329505,0.003680827,0.0007590613,0.08400389],"study_design_scores_gemma":[0.000003836649,0.00002201141,0.00007433401,0.000001963175,0.000003110541,0.00000899871,0.00000561348,0.9981877,0.0009719316,0.0006039761,0.0001139853,0.000002524091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01739879,0.0001428962,0.9811085,0.0001247455,0.00001706059,0.00002639786,0.00002399371,0.0002249101,0.0009327771],"genre_scores_gemma":[0.884788,0.000218365,0.1132791,0.0000915514,0.00003158613,0.00009621846,0.00007612102,0.00003993006,0.001379149],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003932554,"threshold_uncertainty_score":0.007819355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05190249646947746,"score_gpt":0.3158372448193317,"score_spread":0.2639347483498542,"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."}}