{"id":"W4367044872","doi":"10.1145/3578354","title":"Proceedings of the 6th International Workshop on Edge Systems, Analytics and Networking","year":2023,"lang":"en","type":"paratext","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Analytics; Stateless protocol; Internet of Things; Edge computing; Edge device; Event (particle physics); The Internet; Resource (disambiguation); Server; Computer network; Distributed computing; Computer security; Telecommunications; World Wide Web; Data science; Operating system; Cloud computing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001985306,0.001014978,0.000792947,0.0008521999,0.0006354325,0.003037146,0.001298703,0.001284736,0.04282217],"category_scores_gemma":[0.002046081,0.0003345847,0.0005576969,0.0007481937,0.0006320221,0.002985959,0.001545832,0.002271738,0.02141504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005997896,"about_ca_system_score_gemma":0.001174344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001681518,"about_ca_topic_score_gemma":0.004185464,"domain_scores_codex":[0.999114,0.0002376669,0.00005451767,0.0001248453,0.000337197,0.0001317586],"domain_scores_gemma":[0.9984364,0.0003696977,0.00004027781,0.0002610225,0.0005671748,0.000325462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004550183,0.0003179045,0.000732118,0.0003719589,0.00006183809,0.000320954,0.0002385626,0.001793899,0.005686998,0.01604686,0.6348327,0.3391412],"study_design_scores_gemma":[0.00001982233,0.00008698393,0.0007300063,0.0002368054,0.00002848569,0.0002919021,0.0001519747,0.005432529,0.002305944,0.008168404,0.9825283,0.0000187644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02362711,0.09502181,0.2846628,0.03150884,0.1254961,0.0006336173,0.002022588,0.004509812,0.4325173],"genre_scores_gemma":[0.08167388,0.050213,0.09555947,0.003946493,0.01582036,0.0004279662,0.007350922,0.001751541,0.7432564],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04282217,"threshold_uncertainty_score":0.1432545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03070598925681857,"score_gpt":0.2586883747317342,"score_spread":0.2279823854749157,"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."}}