{"id":"W4226182768","doi":"10.1145/3508072.3508111","title":"Towards Optimal Placement of Cloud Edge Gateways","year":2021,"lang":"en","type":"article","venue":"The 5th International Conference on Future Networks & Distributed Systems","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Cloud computing; Software deployment; Enhanced Data Rates for GSM Evolution; Key (lock); Global Positioning System; Distributed computing; Architecture; Field (mathematics); Real-time computing; The Internet; Edge computing; Computer network; Computer security; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002589204,0.0002516548,0.000304001,0.00006505613,0.00009609229,0.000132096,0.0006082724,0.0002314532,0.0003389987],"category_scores_gemma":[0.00005749764,0.0001926104,0.0001072631,0.0002831039,0.00008202454,0.00006597078,0.0001062621,0.000387981,0.00004689571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001630163,"about_ca_system_score_gemma":0.00006439879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000172753,"about_ca_topic_score_gemma":0.00003743321,"domain_scores_codex":[0.9984314,0.00008502571,0.0005014001,0.0002323529,0.0004545655,0.0002952229],"domain_scores_gemma":[0.9988163,0.00005871715,0.0001400489,0.0004653246,0.0004618511,0.00005780975],"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":[0.00006025987,0.00004603115,0.0001475631,0.00005644011,0.000258856,0.000007147381,0.0002021745,0.8002442,0.0003001124,0.1638681,0.03387447,0.0009347099],"study_design_scores_gemma":[0.001159924,0.00007272603,0.0005988206,0.0005103558,0.00007322227,0.00007094663,0.003691071,0.6973072,0.002684824,0.0006076365,0.2925557,0.0006675217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02913272,0.001602989,0.9364626,0.0013879,0.01371969,0.0004403811,0.001043073,0.0006983815,0.01551228],"genre_scores_gemma":[0.9958255,0.0005197736,0.0001563716,0.00004648878,0.001254132,0.00004991908,0.001656213,0.00002567323,0.0004659673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9666927,"threshold_uncertainty_score":0.7854423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03300617404750839,"score_gpt":0.2671307115934679,"score_spread":0.2341245375459595,"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."}}