{"id":"W4401875371","doi":"10.1016/j.cosrev.2024.100668","title":"A survey on reconfigurable intelligent surfaces assisted multi-access edge computing networks: State of the art and future challenges","year":2024,"lang":"en","type":"article","venue":"Computer Science Review","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Edge computing; Computer architecture; State (computer science); State of art; Edge device; Human–computer interaction; Multimedia; Telecommunications; Data science; Operating system; Cloud computing","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":[0.0005086159,0.0005147303,0.000757189,0.001159342,0.0001957034,0.001247537,0.0008500941,0.0006628099,0.003513833],"category_scores_gemma":[0.0007936712,0.000248379,0.0003350172,0.002438997,0.0002538907,0.002045731,0.0004675314,0.0007215875,0.00112757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003677061,"about_ca_system_score_gemma":0.0005804166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004335187,"about_ca_topic_score_gemma":0.0006540864,"domain_scores_codex":[0.9997531,0.00003804787,0.00002406502,0.00005235266,0.0001007961,0.00003160422],"domain_scores_gemma":[0.9994078,0.0003294208,0.00005823158,0.00003327626,0.0001372322,0.0000339878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007603868,0.0000744738,0.000675467,0.005514142,0.0000396422,0.00009599145,0.00005325906,0.003504519,0.005353705,0.01775289,0.01713633,0.9497235],"study_design_scores_gemma":[0.00001271103,0.0003864431,0.001363596,0.002370554,0.000112888,0.001159211,0.0002008965,0.01188982,0.005649011,0.0133495,0.9634537,0.00005175668],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00437938,0.9652677,0.01491546,0.001223962,0.0006421749,0.00002421184,0.00007859043,0.00009936078,0.01336924],"genre_scores_gemma":[0.0218358,0.9657007,0.007054524,0.0006659395,0.0007756969,0.00002367788,0.0001759338,0.0000213353,0.003746301],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003513833,"threshold_uncertainty_score":0.01175499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08414047177764904,"score_gpt":0.3240878265495729,"score_spread":0.2399473547719239,"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."}}