{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001372958,0.0007261964,0.0008965659,0.0005927611,0.0006215613,0.0007540545,0.001124181,0.0005719065,0.001607776],"category_scores_gemma":[0.004900964,0.0004685288,0.0004485875,0.001099861,0.0007599678,0.001373747,0.0007751221,0.0008606829,0.0002477754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842449,"about_ca_system_score_gemma":0.001370457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007944346,"about_ca_topic_score_gemma":0.005731434,"domain_scores_codex":[0.9993176,0.0002182514,0.00003459528,0.0001130273,0.0001773898,0.0001391724],"domain_scores_gemma":[0.9980412,0.001332535,0.0001778824,0.0002156546,0.0001247742,0.0001079263],"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":[0.0003533201,0.00003561559,0.0005667072,0.00008718537,0.00002057505,0.0001204512,0.0001607993,0.9115131,0.005403882,0.02190126,0.001149732,0.05868732],"study_design_scores_gemma":[0.00001856274,0.00003157258,0.00008768656,0.000008988107,0.000007740655,0.0000420543,0.00002610337,0.9856536,0.001997769,0.01138836,0.0007324572,0.000005109269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06121,0.0007990327,0.9339961,0.000199928,0.00004493807,0.00008199271,0.0001294106,0.0007218315,0.002816739],"genre_scores_gemma":[0.6797735,0.0006576998,0.3172794,0.00008140231,0.00004337408,0.0001119451,0.0002323754,0.000124766,0.001695391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007944346,"threshold_uncertainty_score":0.01579618,"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."}}