{"id":"W4414165923","doi":"10.1109/tmc.2025.3607599","title":"Reliable Intelligent Reflecting Surface-Assisted Mobile Edge Computing Systems: A Physical Layer Security and Encryption Design","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Encryption; Physical layer; Mobile edge computing; Wireless; Energy consumption; Secure transmission; Wireless network; Mobile computing; Cryptography","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":[0.000282997,0.0005048643,0.0003617064,0.0002092042,0.0002333578,0.0007895492,0.0007667497,0.0006438546,0.001260429],"category_scores_gemma":[0.00055887,0.0002257973,0.000435034,0.0002749523,0.0004979031,0.0009011694,0.0006884056,0.0006098264,0.0004293146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004533011,"about_ca_system_score_gemma":0.0003695814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003916471,"about_ca_topic_score_gemma":0.0005026567,"domain_scores_codex":[0.9996303,0.00009372154,0.00001819132,0.00006437917,0.0001513643,0.0000419419],"domain_scores_gemma":[0.9997486,0.00006036293,0.0000553969,0.00004561116,0.00007380962,0.00001612689],"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":[0.0002821364,0.0001168078,0.001804839,0.0002899511,0.00008496132,0.0004639596,0.0002167779,0.6052413,0.2129147,0.05375611,0.002435911,0.1223926],"study_design_scores_gemma":[0.000009478222,0.0001487057,0.0001578165,0.000008388403,0.00001244785,0.0001354144,0.00002059221,0.9836352,0.01192839,0.002010548,0.001922434,0.00001062936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03188946,0.000406164,0.9616975,0.0003183551,0.00003884904,0.00006577918,0.00002651034,0.0001586652,0.005398712],"genre_scores_gemma":[0.834013,0.0005345479,0.161863,0.0001307618,0.00003224277,0.0001086719,0.00003736002,0.00003007771,0.003250415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001260429,"threshold_uncertainty_score":0.004216552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03259891439398486,"score_gpt":0.3060555179537226,"score_spread":0.2734566035597377,"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."}}