{"id":"W2134858011","doi":"10.1109/icme.2002.1035705","title":"Hierarchical adaptive control scheme for video streaming over Internet","year":2002,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Computer network; Packet loss; Network packet; Scheme (mathematics); The Internet; Real-time computing; Video streaming; Data compression; Process (computing); Adaptive control; Control (management); Algorithm","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":[0.00009511615,0.000122583,0.0001573182,0.00009542792,0.00007567533,0.000116814,0.0008737294,0.00006650357,0.00009797399],"category_scores_gemma":[0.0001126122,0.00009406923,0.00008514018,0.0001360726,0.00005228553,0.0002508694,0.0002611724,0.0001507632,0.0000466225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002292224,"about_ca_system_score_gemma":0.00000769586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001295571,"about_ca_topic_score_gemma":0.000002838424,"domain_scores_codex":[0.9990241,0.00002339019,0.0001689645,0.0003539508,0.000157551,0.0002720308],"domain_scores_gemma":[0.9991611,0.0002711135,0.00005325708,0.0004115206,0.00004568037,0.00005738289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002794051,0.0001262094,0.0005459003,0.000008759801,0.00005256417,0.00001140771,0.0002363484,0.00002508946,0.001607346,0.6332937,0.06702858,0.2970361],"study_design_scores_gemma":[0.0009565447,0.0002344824,0.0002157178,0.00003414006,0.000003400598,0.000006798415,0.00002938557,0.9640573,0.005883859,0.01418789,0.01420519,0.000185319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008600124,0.0001588692,0.9845534,0.001546414,0.0001520435,0.0001635912,0.000002352254,0.000831597,0.003991636],"genre_scores_gemma":[0.9022442,0.000003903104,0.09484743,0.0006939104,0.00003289946,0.00005476856,2.201528e-7,0.000005915206,0.002116796],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9640322,"threshold_uncertainty_score":0.3836032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0338539437340056,"score_gpt":0.2483880018074013,"score_spread":0.2145340580733957,"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."}}