{"id":"W1986342721","doi":"10.1145/1459359.1459478","title":"Interactivity and scalability enhancements for quality-adaptive streaming","year":2008,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Interactivity; Scalability; Adaptation (eye); Real Time Streaming Protocol; Video streaming; Multimedia; Set (abstract data type); Adaptive system; Streaming data; Real-time computing; Distributed computing; The Internet; World Wide Web; Artificial intelligence; Database; Data mining","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":[0.001314167,0.0008681597,0.000384887,0.0005796286,0.0005651825,0.001308406,0.001599537,0.0007049731,0.009439704],"category_scores_gemma":[0.007951862,0.0003761987,0.000506699,0.0004753062,0.0005234448,0.002709584,0.001842552,0.00147505,0.001303138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004281395,"about_ca_system_score_gemma":0.0003607045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001022825,"about_ca_topic_score_gemma":0.001213313,"domain_scores_codex":[0.998907,0.000221905,0.00006625948,0.0001416807,0.000566103,0.00009714792],"domain_scores_gemma":[0.9966432,0.001465574,0.0001868264,0.0005431021,0.0009517133,0.0002097299],"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":[0.0009094678,0.0003769348,0.003585,0.0004088682,0.0001163691,0.001145115,0.0008561934,0.03798067,0.4537711,0.03715907,0.007481049,0.4562102],"study_design_scores_gemma":[0.0002404796,0.0008735126,0.006514782,0.0001094694,0.0002256465,0.002613068,0.0002767842,0.7299082,0.1687847,0.02811778,0.06217097,0.0001646081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05225475,0.001092987,0.9191313,0.0007577576,0.0002134691,0.0002083796,0.0001130338,0.006474384,0.01975389],"genre_scores_gemma":[0.676405,0.001005152,0.3071211,0.00053104,0.0008683583,0.0003583844,0.0005079688,0.001032958,0.01217006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009439704,"threshold_uncertainty_score":0.03157896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0849437816870103,"score_gpt":0.3271588015525959,"score_spread":0.2422150198655856,"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."}}