{"id":"W4226418970","doi":"10.1109/mnet.012.1900434","title":"Intelligent Edge-Based Service Provisioning Using Smart Cloudlets, Fog and Mobile Edges","year":2022,"lang":"en","type":"article","venue":"IEEE Network","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cloudlet; Computer science; Edge computing; Computer network; Provisioning; Edge device; Cloud computing; Mobile edge computing; Quality of service; Distributed computing; Server; Operating system","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":[0.0002280007,0.0002389635,0.0002602102,0.0002768465,0.0004542808,0.001217907,0.000618202,0.0005477324,0.0004622269],"category_scores_gemma":[0.0003629916,0.0001235213,0.0002164124,0.0003574223,0.0004417788,0.001585554,0.0008185476,0.0005070507,0.0001804083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004104907,"about_ca_system_score_gemma":0.0004371642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001153982,"about_ca_topic_score_gemma":0.001633261,"domain_scores_codex":[0.9998381,0.00002624211,0.000007121704,0.00003380175,0.00004544481,0.00004923743],"domain_scores_gemma":[0.9998721,0.00003288318,0.00001761376,0.00002260653,0.00003097394,0.00002374243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004472292,0.0002404581,0.006348575,0.0004127005,0.000120101,0.002221914,0.0006121206,0.1465298,0.1007105,0.4085717,0.01819979,0.3155851],"study_design_scores_gemma":[0.00001963862,0.0001131907,0.002126163,0.0000689586,0.00004002002,0.0005227349,0.0003387262,0.8606365,0.01686896,0.08090837,0.03831571,0.00004100206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1329968,0.00405848,0.811128,0.001987866,0.0005353541,0.0001174369,0.0001182878,0.0009612625,0.04809647],"genre_scores_gemma":[0.927515,0.001657744,0.06746911,0.0003570153,0.0001212184,0.00002394386,0.00006079793,0.00002821526,0.002767018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001217907,"threshold_uncertainty_score":0.002978384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02932324946352461,"score_gpt":0.2523757138577828,"score_spread":0.2230524643942582,"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."}}