{"id":"W3193939164","doi":"10.1002/ett.4343","title":"Energy efficient resource allocation in cache‐enabled fog networks","year":2021,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Cache; Distributed computing; Efficient energy use; Quality of service; Resource allocation; Computer network","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":[0.0003005169,0.0003545362,0.0005815621,0.0003714733,0.0005259828,0.0006813772,0.0008726007,0.0004312579,0.0009541124],"category_scores_gemma":[0.0006833649,0.0002022256,0.0002407523,0.0006865237,0.0003392138,0.0008029386,0.0004823325,0.0003370653,0.0001016288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006699737,"about_ca_system_score_gemma":0.0009071239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006562835,"about_ca_topic_score_gemma":0.009976653,"domain_scores_codex":[0.9998398,0.00003706904,0.000005636031,0.00002951915,0.00003439933,0.00005354977],"domain_scores_gemma":[0.9997725,0.0001200255,0.00002277722,0.00001706586,0.00004935572,0.00001836611],"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":[0.0001561612,0.000069703,0.0006112652,0.00007945278,0.00004164031,0.0001765643,0.00004930739,0.9367543,0.00480777,0.01491187,0.003043106,0.03929884],"study_design_scores_gemma":[0.00000438502,0.00001422444,0.00005909843,0.000003182367,0.000004102455,0.00001847031,0.00001005486,0.9962346,0.0004108805,0.002861805,0.0003766031,0.0000025761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1867983,0.002572055,0.7960452,0.0003909029,0.0001481321,0.0000715343,0.000196554,0.0003245918,0.01345274],"genre_scores_gemma":[0.9606186,0.0003509958,0.03747477,0.00007593322,0.00002186109,0.00003528206,0.00006056442,0.00001720075,0.001344758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006562835,"threshold_uncertainty_score":0.01304924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482884993683238,"score_gpt":0.2419513050447586,"score_spread":0.2271224551079263,"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."}}