{"id":"W2190455466","doi":"10.1186/s13638-015-0486-z","title":"Cross-layer distributed power control: a repeated game formulation to improve the sum energy efficiency","year":2015,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Queue; Nash equilibrium; Efficient energy use; Network packet; Power (physics); Energy (signal processing); Performance metric; Work (physics)","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":[0.0005794386,0.0002344056,0.0002418942,0.0001085643,0.0005642006,0.0003102912,0.0005665704,0.00009788964,0.000004399751],"category_scores_gemma":[0.00003959997,0.0001842357,0.00006591297,0.0005638886,0.00007552652,0.0002789989,0.0001282886,0.0005049595,0.000004303255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001800576,"about_ca_system_score_gemma":0.00002878415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005959177,"about_ca_topic_score_gemma":0.00001527718,"domain_scores_codex":[0.9985127,0.0001777662,0.0004849012,0.0001801391,0.0002551956,0.0003893107],"domain_scores_gemma":[0.9981177,0.0003404712,0.0001997647,0.0008248063,0.0002767955,0.0002404739],"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":[0.00007349165,0.00004296056,0.001061666,0.000002433599,0.00004624249,0.000003184936,0.0003857728,0.9516712,0.000279347,0.0014585,0.0003059676,0.04466919],"study_design_scores_gemma":[0.0009468399,0.0001212323,0.001338408,0.0001070984,0.00002184458,0.00004417482,0.00007215205,0.9674486,0.00008410851,0.0002278738,0.02933574,0.0002519635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1584765,0.003615031,0.8345278,0.000905646,0.0008645616,0.0003244877,0.00001764688,0.0002595973,0.001008787],"genre_scores_gemma":[0.9968466,0.001708323,0.0007854203,0.0002352811,0.0002662585,0.00002480944,0.00003814554,0.00005755925,0.00003757439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8383702,"threshold_uncertainty_score":0.7512915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02210861864796681,"score_gpt":0.2690053858570388,"score_spread":0.2468967672090719,"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."}}