{"id":"W2103806271","doi":"10.1109/tmm.2010.2076799","title":"Energy-Efficient Multicasting of Scalable Video Streams Over WiMAX Networks","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Multimedia","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Multicast; Energy consumption; WiMAX; Computer network; Scalability; Quality of service; Video quality; Wireless; Real-time computing; IMT Advanced; Mobile computing; Distributed computing; Mobile technology; Mobile Web; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008333186,0.0002357956,0.000235751,0.0001521284,0.00009658044,0.00001694763,0.0001371693,0.0001977565,0.0002153186],"category_scores_gemma":[0.000008660726,0.0002511858,0.00009715897,0.0003874961,0.00009473188,0.0001259659,0.000001347366,0.0004798318,0.00001351281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000509989,"about_ca_system_score_gemma":0.00001407396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003552527,"about_ca_topic_score_gemma":0.0001064073,"domain_scores_codex":[0.9987978,0.00001930082,0.0003582041,0.0002460211,0.0002170916,0.000361628],"domain_scores_gemma":[0.9991065,0.0002778195,0.00006393422,0.0003372603,0.00007531593,0.0001391586],"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":[0.00001576222,0.00009487847,0.00001750485,0.00001176751,0.00002717821,0.000001539,0.00007687679,0.816316,0.01068737,0.000007222529,0.00003073546,0.1727132],"study_design_scores_gemma":[0.0005713889,0.00002249736,0.00008622259,0.00004597332,0.00002977042,0.000003438323,0.00001603683,0.9494997,0.04940527,0.000004564436,0.00009850061,0.0002166543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06847168,0.00004150023,0.928746,0.000005547336,0.001815439,0.0001429856,0.00002299791,0.0003473336,0.0004065016],"genre_scores_gemma":[0.9579824,0.00005506669,0.0416098,0.00001414989,0.0001393368,0.00004342424,0.00001040593,0.00007627041,0.00006911756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8895108,"threshold_uncertainty_score":0.999994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005238289156049966,"score_gpt":0.205590914934917,"score_spread":0.200352625778867,"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."}}