{"id":"W2903350495","doi":"10.1155/2018/1061807","title":"Wireless Adaptive Video Streaming with Edge Cloud","year":2018,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"InterDigital (Canada)","funders":"National Science Foundation","keywords":"Computer science; Wireless network; Cloud computing; Computer network; Quality of experience; Wireless; Enhanced Data Rates for GSM Evolution; Mobile edge computing; Edge computing; Wireless WAN; Edge device; Distributed computing; Wi-Fi array; Quality of service; Server; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003955456,0.0003860114,0.0003659464,0.0002609364,0.0004084917,0.0005121068,0.0007041697,0.0002888545,0.0007707672],"category_scores_gemma":[0.0008870309,0.0001138777,0.0001932014,0.0004629029,0.0002291542,0.000634021,0.0004979232,0.0005212263,0.0001591557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007545063,"about_ca_system_score_gemma":0.0006559711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006459898,"about_ca_topic_score_gemma":0.00551223,"domain_scores_codex":[0.9997705,0.00004573124,0.00000896965,0.00003650194,0.00009281126,0.00004553127],"domain_scores_gemma":[0.9997054,0.00009895331,0.00002360298,0.00004108784,0.00009870665,0.00003224908],"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":[0.0009342582,0.0003390845,0.002529497,0.000156023,0.00006973219,0.000469295,0.00008472097,0.6283932,0.05393965,0.03531174,0.0064756,0.2712972],"study_design_scores_gemma":[0.00001074433,0.00002377004,0.0001654009,0.000002439424,0.000003973255,0.00002555804,0.000006602389,0.99507,0.002625613,0.001512829,0.000549079,0.000004051737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1439027,0.001146554,0.8387603,0.0004215735,0.0001625594,0.0002057856,0.000110419,0.001191307,0.01409884],"genre_scores_gemma":[0.8986875,0.0003575906,0.09890286,0.0001202455,0.00005171625,0.00004230908,0.00007362189,0.00003821202,0.001725885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006459898,"threshold_uncertainty_score":0.01284456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183255121756433,"score_gpt":0.2628044912060887,"score_spread":0.2409719399885243,"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."}}