{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003978232,0.0004216398,0.0004799949,0.0003625638,0.0003300857,0.0002622036,0.0004992787,0.0003760713,0.0004661572],"category_scores_gemma":[0.001153921,0.0001570803,0.0001719264,0.000433354,0.0001985954,0.0005109356,0.0004267016,0.0002535491,0.00008000046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004641292,"about_ca_system_score_gemma":0.0003339976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002223353,"about_ca_topic_score_gemma":0.002611152,"domain_scores_codex":[0.9998533,0.00004107985,0.000005806045,0.0000185322,0.00005028181,0.00003099847],"domain_scores_gemma":[0.9997532,0.0001329783,0.000044869,0.0000228117,0.00002933967,0.00001695881],"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":[0.0003284939,0.0001132254,0.001169344,0.00007528094,0.00002985054,0.0001578506,0.00007093618,0.8463807,0.02710655,0.005742741,0.001021734,0.1178034],"study_design_scores_gemma":[0.00001252516,0.00003963201,0.0001742611,0.000001721616,0.000003742129,0.00001135565,0.00001101525,0.9955444,0.002207456,0.001842506,0.0001497888,0.000001601992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4064353,0.000348786,0.5891274,0.0001909129,0.00002541847,0.00008380649,0.00008118877,0.0004098548,0.003297326],"genre_scores_gemma":[0.9280246,0.0001336679,0.07078688,0.00002005673,0.00001567597,0.00004855741,0.00006590853,0.00001857412,0.0008860935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002223353,"threshold_uncertainty_score":0.004420877,"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."}}