{"id":"W2117503282","doi":"10.1007/s11036-012-0370-6","title":"A Survey of Energy Efficient Wireless Transmission and Modeling in Mobile Cloud Computing","year":2012,"lang":"en","type":"article","venue":"Mobile Networks and Applications","topic":"Green IT and Sustainability","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; University of Ottawa","funders":"","keywords":"Computer science; Cloud computing; Mobile cloud computing; Mobile device; Wireless; Energy consumption; Transmission (telecommunications); Mobile computing; Efficient energy use; Energy (signal processing); Computer network; Telecommunications; Electrical engineering; Operating system","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":[0.0003013987,0.00008582829,0.0001489819,0.00003357964,0.00005845601,0.000008969118,0.00004428295,0.00006518958,0.000002149848],"category_scores_gemma":[0.000001063914,0.00008347422,0.0000160199,0.0002044489,0.00003132856,0.00002567762,0.00002372118,0.00008350554,9.187868e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001872271,"about_ca_system_score_gemma":0.000005106718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001980598,"about_ca_topic_score_gemma":0.00004214515,"domain_scores_codex":[0.9994036,0.00002869756,0.0002051131,0.000115587,0.00004678484,0.0002002008],"domain_scores_gemma":[0.9996758,0.00008236233,0.00001814019,0.0001158702,0.00003086453,0.00007699777],"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":[0.000002266694,0.00004679703,0.01154029,0.0000395386,0.000002878993,3.743824e-8,0.0001220016,0.8889028,0.00003606093,0.000188705,0.000005121047,0.09911344],"study_design_scores_gemma":[0.0001198902,0.000008945262,0.009201724,0.00001569717,0.00000430807,6.306739e-7,0.0001209289,0.989771,0.00002516729,0.00002383723,0.0006240327,0.00008381296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5945421,0.004488585,0.4007009,8.918856e-7,0.0000153032,0.0001851571,0.000002260403,0.00002274,0.0000420204],"genre_scores_gemma":[0.9993047,0.0003540433,0.00006110468,0.000003075497,0.00005396033,0.0001925631,0.00001574766,0.00001199124,0.000002790709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4047626,"threshold_uncertainty_score":0.340398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114820666419553,"score_gpt":0.2278013560846367,"score_spread":0.2166531494204412,"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."}}