{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003535332,0.0002069778,0.0002189873,0.0005977983,0.0006761907,0.0001319173,0.001809283,0.0002018832,0.000004925969],"category_scores_gemma":[0.00006055496,0.0002303695,0.0001000006,0.00281788,0.0001036651,0.0001780571,0.0001509246,0.0006491252,0.00001301523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002022485,"about_ca_system_score_gemma":0.0001020234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009008726,"about_ca_topic_score_gemma":0.00008077428,"domain_scores_codex":[0.9982667,0.0001772691,0.0004391576,0.000473001,0.000188697,0.0004551501],"domain_scores_gemma":[0.9970337,0.0003330678,0.0001126691,0.002358672,0.0001278603,0.00003408553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005607597,0.0005708523,0.00005399826,0.00001126443,0.0000419036,0.000009639139,0.0006129743,0.4596482,0.0005257031,0.01454438,0.0008524263,0.523123],"study_design_scores_gemma":[0.0003305975,0.00003688272,0.0002192685,0.00009406441,0.00001239555,0.00002261987,0.0006795952,0.9441842,0.01398084,0.001588674,0.03849856,0.0003523075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004730314,0.001235008,0.9773614,0.01177446,0.0005517027,0.0001101658,2.531251e-7,0.001961567,0.002275163],"genre_scores_gemma":[0.9333339,0.00060469,0.06547442,0.0001477552,0.00003000338,0.0001155719,0.00001232536,0.00001977451,0.0002615431],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9286036,"threshold_uncertainty_score":0.9394194,"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."}}