{"id":"W4384787174","doi":"10.1109/tgcn.2023.3296646","title":"DRL-Based Green Resource Provisioning for 5G and Beyond Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Green Communications and Networking","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Provisioning; Resource (disambiguation); Computer science; Environmental science; Computer network","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":[0.001021754,0.0007768779,0.0007709001,0.0004990546,0.000563918,0.000827227,0.001590656,0.0008215722,0.002280317],"category_scores_gemma":[0.001859894,0.0002355451,0.0003668582,0.0006360546,0.0006422881,0.001585884,0.001300818,0.001039415,0.0004699941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00173317,"about_ca_system_score_gemma":0.001447588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006781473,"about_ca_topic_score_gemma":0.0130053,"domain_scores_codex":[0.9995647,0.0001220379,0.00001393805,0.00008562996,0.000113806,0.00009984269],"domain_scores_gemma":[0.9994294,0.0002179817,0.00006855959,0.00009261297,0.0001305443,0.00006088693],"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":[0.0001185772,0.0001270356,0.0009078191,0.00009432558,0.00003449045,0.00009304324,0.00006244228,0.786916,0.004230459,0.01085293,0.00677275,0.1897902],"study_design_scores_gemma":[0.000005771202,0.00001941433,0.00007418937,0.000005230525,0.000004389105,0.00001796851,0.00001556466,0.9944817,0.0007631112,0.003459853,0.001148165,0.000004566625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04069877,0.001263212,0.9451867,0.001114585,0.0001802839,0.00008950203,0.0001878242,0.002381125,0.008897949],"genre_scores_gemma":[0.8307118,0.0004511957,0.1635746,0.0004943504,0.00006927392,0.00007383297,0.0002685619,0.0001593497,0.004196904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006781473,"threshold_uncertainty_score":0.013484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03812678723632439,"score_gpt":0.2608570580642792,"score_spread":0.2227302708279548,"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."}}