{"id":"W4404307089","doi":"10.1109/ojcoms.2024.3497756","title":"Spectral Efficiency and Energy Efficiency Tradeoff in Multiuser RIS-Aided Mobile Edge Computing Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Efficient energy use; Spectral efficiency; Enhanced Data Rates for GSM Evolution; Computer science; Mobile edge computing; Energy (signal processing); Distributed computing; Environmental science; Computer network; Telecommunications; Electrical engineering; Physics; Engineering","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":[0.0005400422,0.000550486,0.0005240234,0.0002402951,0.0003129919,0.0007679138,0.0006299092,0.0004964145,0.0008838346],"category_scores_gemma":[0.001435217,0.0002505792,0.000222403,0.0004581628,0.0006129768,0.0007184956,0.0006627318,0.000493052,0.0001862433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005990735,"about_ca_system_score_gemma":0.0005639626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001410106,"about_ca_topic_score_gemma":0.002361962,"domain_scores_codex":[0.9995982,0.0001506347,0.000009486336,0.00005780068,0.0001073478,0.00007653052],"domain_scores_gemma":[0.9994842,0.0003437785,0.00004545581,0.0000323577,0.00006762498,0.00002641367],"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":[0.00009096212,0.00004315275,0.0004510275,0.00003960002,0.0000157561,0.0001031737,0.00005592663,0.9658337,0.005977911,0.01030263,0.0004945874,0.01659146],"study_design_scores_gemma":[0.000002114017,0.00001721749,0.00005427666,0.00000176076,0.000002036416,0.00001364661,0.000007358118,0.9977259,0.0005613752,0.001486917,0.0001250494,0.000002352646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1610699,0.0006625339,0.8263692,0.0003741966,0.00004811813,0.0000332167,0.00003901373,0.0002028852,0.0112009],"genre_scores_gemma":[0.9679794,0.0002001484,0.0300903,0.00007566864,0.00001711272,0.00002849585,0.00002239929,0.00002126236,0.001565343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001410106,"threshold_uncertainty_score":0.004346609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03075905228030316,"score_gpt":0.3014399724108371,"score_spread":0.2706809201305339,"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."}}