{"id":"W1976905670","doi":"10.1109/tetc.2014.2387752","title":"Energy Cost Models of Smartphones for Task Offloading to the Cloud","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computing","topic":"Green IT and Sustainability","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; King Saud University","keywords":"Computer science; Cloud computing; Task (project management); Mobile device; Process (computing); Energy consumption; Mobile cloud computing; Energy (signal processing); Embedded system; Real-time computing; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003888492,0.0001202185,0.0001730851,0.0001291163,0.00009734214,0.00001584559,0.0001804985,0.00005504878,0.000001762241],"category_scores_gemma":[0.00001184213,0.0001113413,0.00007384238,0.0002948262,0.00002014284,0.00006015425,0.00000288009,0.0001482005,7.713421e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000146209,"about_ca_system_score_gemma":0.00002894958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001907685,"about_ca_topic_score_gemma":0.0003515351,"domain_scores_codex":[0.9991325,0.00003188757,0.0002966152,0.0001526525,0.0001310241,0.0002553161],"domain_scores_gemma":[0.9994412,0.0001445035,0.00002510443,0.0002325731,0.00009334911,0.00006324135],"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":[0.00001163172,0.00002141473,0.00003822879,0.00003772914,0.00001385445,5.1937e-7,0.002205586,0.9292378,0.00005126535,0.0005623384,0.0001818743,0.06763776],"study_design_scores_gemma":[0.000288618,0.00003472074,0.0000213867,0.00004284165,0.00000959118,0.000001185932,0.0006691752,0.988479,0.003175128,0.001975211,0.005175664,0.0001275433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1051486,0.00004724472,0.8922002,0.0003261628,0.001628746,0.00020622,0.000006427041,0.00008390624,0.0003524662],"genre_scores_gemma":[0.9968453,0.000005092515,0.002810725,0.00005166775,0.0001613431,0.00002716923,8.528567e-7,0.00002024733,0.00007759246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8916968,"threshold_uncertainty_score":0.4540368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03346589894819612,"score_gpt":0.2635642005685142,"score_spread":0.230098301620318,"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."}}