{"id":"W2473031807","doi":"10.1109/ict.2016.7500362","title":"MeFoRE: QoE based resource estimation at Fog to enhance QoS in IoT","year":2016,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Quality of service; Cloud computing; Resource (disambiguation); Latency (audio); Quality of experience; Computer network; Resource management (computing); Internet of Things; Distributed computing; World Wide Web; Telecommunications","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":[0.0003683832,0.0001053348,0.0001095677,0.0001302238,0.00008364491,0.0000553364,0.0005249091,0.00004386026,0.00001680034],"category_scores_gemma":[0.0001075514,0.00007261039,0.00003159887,0.0003867829,0.00001471322,0.0001486494,0.0003000212,0.00004543329,0.0004970758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001513513,"about_ca_system_score_gemma":0.00003688101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000316593,"about_ca_topic_score_gemma":0.00002398629,"domain_scores_codex":[0.99887,0.00004326123,0.0002044269,0.0003583661,0.0002048314,0.0003191026],"domain_scores_gemma":[0.9992158,0.0001809148,0.00004435199,0.0004343127,0.00003268108,0.00009195369],"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":[0.00002883331,0.00006745945,0.002730197,0.00002047054,0.000004378439,0.00001784066,0.00101377,0.001587979,0.01486668,0.002267686,0.118801,0.8585936],"study_design_scores_gemma":[0.0006683235,0.0001713761,0.01001689,0.0002562441,0.000002264232,0.000006616979,0.000004836462,0.6431792,0.2150734,0.001173331,0.1289179,0.0005296157],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.122802,0.000008058999,0.8642964,0.00537088,0.001661272,0.0001315542,6.558869e-8,0.0001644173,0.005565348],"genre_scores_gemma":[0.7269216,3.508329e-7,0.2631762,0.002692009,0.001151487,0.00002048315,0.000001043248,0.00001585144,0.006020933],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8580641,"threshold_uncertainty_score":0.638907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008902134758827361,"score_gpt":0.2558781636714898,"score_spread":0.2469760289126624,"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."}}