{"id":"W2134298603","doi":"10.1109/tmc.2008.74","title":"Utility-Based Rate-Controlled Parallel Wireless Transmission of Multimedia Streams with Multiple Importance Levels","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Quality of service; Wireless; Computer network; Reliability (semiconductor); Resource allocation; Exploit; Multimedia; Distributed computing; Power (physics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001458592,0.0006212412,0.0006015374,0.0004862225,0.0003695393,0.0006501228,0.001406407,0.0003460239,0.0007640601],"category_scores_gemma":[0.004792871,0.0003313427,0.000292296,0.0005649143,0.0006397662,0.001051083,0.0006881931,0.0006617564,0.0001342823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000810309,"about_ca_system_score_gemma":0.0006683742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002311787,"about_ca_topic_score_gemma":0.002120907,"domain_scores_codex":[0.9994312,0.0002042751,0.00002811349,0.00007683583,0.0001901575,0.00006944359],"domain_scores_gemma":[0.9980129,0.001085529,0.0002986087,0.0001541445,0.0003668454,0.00008193254],"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":[0.0004156048,0.000168998,0.0008621418,0.0001175461,0.00004935309,0.0002405802,0.0001609134,0.8503754,0.02550642,0.02216425,0.00109069,0.09884813],"study_design_scores_gemma":[0.000012465,0.00003542202,0.00006245114,0.000001930036,0.000007371815,0.0000349743,0.000005675306,0.9963918,0.002001834,0.001256578,0.000183475,0.000005963771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04560735,0.0002285784,0.952408,0.0000964495,0.00003949246,0.00005427619,0.00001667003,0.0001812297,0.001367914],"genre_scores_gemma":[0.9169531,0.000236032,0.08097329,0.00003325087,0.00004539601,0.00007780609,0.00002870418,0.00003496709,0.001617418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002311787,"threshold_uncertainty_score":0.007713854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315812224336376,"score_gpt":0.21928404000325,"score_spread":0.2061259177598862,"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."}}