{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003641181,0.0003205328,0.0004118657,0.0002526397,0.0005655584,0.0001172802,0.0003180696,0.000179563,0.00000315279],"category_scores_gemma":[0.00001453665,0.0003589126,0.00009148162,0.0007503345,0.00009838535,0.0001706,0.00001966122,0.0008231088,0.0000134362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003915902,"about_ca_system_score_gemma":0.00002999119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003474746,"about_ca_topic_score_gemma":0.000005190938,"domain_scores_codex":[0.9983459,0.0001350619,0.0005170096,0.0004287118,0.0001676523,0.0004057114],"domain_scores_gemma":[0.998319,0.0008030472,0.0001075086,0.0005918895,0.0001182596,0.00006030643],"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":[0.00001066964,0.0001060919,0.00001805936,0.0001739624,0.00005972481,0.000001374911,0.0007954391,0.9209722,0.01413609,0.00008384011,0.00003710898,0.06360549],"study_design_scores_gemma":[0.0002510321,0.00009454397,0.00001579947,0.0004625195,0.00002681854,0.000009651764,0.001707069,0.8947255,0.1019145,0.0001782585,0.0003385011,0.0002758011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3084685,0.0008242572,0.6878139,0.00001103995,0.0004700582,0.0006484113,0.000003700799,0.001613045,0.0001471383],"genre_scores_gemma":[0.9823509,0.0002883179,0.01712543,0.00001443468,0.00003022003,0.0001012331,0.000002685234,0.00004947243,0.0000372684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6738825,"threshold_uncertainty_score":0.9998863,"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."}}