{"id":"W2107478614","doi":"10.1109/infcom.2009.5062148","title":"Time Slicing in Mobile TV Broadcast Networks with Arbitrary Channel Bit Rates","year":2009,"lang":"en","type":"article","venue":"","topic":"Green IT and Sustainability","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Schedule; Transmission (telecommunications); Base station; Testbed; Correctness; Energy consumption; Channel (broadcasting); Energy (signal processing); Real-time computing; Computer network; Broadcasting (networking); Algorithm; Telecommunications; Electrical engineering","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":[0.0001128516,0.0001469646,0.0001785079,0.00007783623,0.00002888732,0.00002558019,0.0000875963,0.00007371879,0.0001394311],"category_scores_gemma":[0.000003732235,0.0001201798,0.00002874633,0.0002951588,0.00002217008,0.0001464907,0.00001060337,0.0001933698,0.00002223711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005974092,"about_ca_system_score_gemma":0.0000117205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005972274,"about_ca_topic_score_gemma":0.00004565385,"domain_scores_codex":[0.9992635,0.00001320385,0.0001552372,0.0001547195,0.00007319458,0.0003401235],"domain_scores_gemma":[0.9996971,0.00002778103,0.000009804961,0.0001782317,0.00002257355,0.00006453422],"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":[0.00003495392,0.00007152914,0.005605335,0.00004284136,0.00001647483,0.00006166916,0.0007552556,0.9778782,0.0002161646,0.000101413,0.001456471,0.01375976],"study_design_scores_gemma":[0.0004914493,0.000198563,0.01932161,0.00004372639,0.000006460382,0.00001034182,0.000537125,0.9773532,0.0005508404,0.0005096333,0.0006308192,0.0003461945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756203,0.0005319317,0.00265502,0.00006531145,0.00003841407,0.00029421,6.289205e-7,0.0003571342,0.02043704],"genre_scores_gemma":[0.9988941,0.00001861722,0.0002647298,0.000107308,0.00006539034,0.00001678084,0.000005870126,0.00001763553,0.0006095787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02327378,"threshold_uncertainty_score":0.490079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003279762735671568,"score_gpt":0.1866917738749624,"score_spread":0.1834120111392908,"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."}}