{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004284387,0.0009036853,0.0005217862,0.0004699527,0.0003448095,0.0007602362,0.0009071507,0.0006853313,0.0036597],"category_scores_gemma":[0.002028917,0.0002995846,0.0007510125,0.0004724528,0.0002784427,0.001012707,0.0004369465,0.000566143,0.0006252692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165284,"about_ca_system_score_gemma":0.0006622447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02201438,"about_ca_topic_score_gemma":0.01605799,"domain_scores_codex":[0.9997616,0.00005596239,0.00001749999,0.00003995677,0.00006324724,0.00006165787],"domain_scores_gemma":[0.9993395,0.0003572938,0.00006708357,0.00004647399,0.0001598235,0.00002972461],"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":[0.00008219422,0.00002992938,0.00179854,0.00004710654,0.000009147439,0.00009293896,0.00005062535,0.9816032,0.001491537,0.005391752,0.001239546,0.008163476],"study_design_scores_gemma":[0.000003981967,0.00001551769,0.0005398685,0.000004602729,0.000006007489,0.00001601466,0.00001787002,0.9980177,0.0002207005,0.00086611,0.0002873908,0.000004224097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5717593,0.002026493,0.3848749,0.002619666,0.0001454695,0.0003494529,0.002230423,0.0007709604,0.03522335],"genre_scores_gemma":[0.9840462,0.0005599976,0.008501975,0.00007792555,0.0000170849,0.0001572708,0.0003904872,0.00004996928,0.006198989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02201438,"threshold_uncertainty_score":0.04377246,"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."}}