{"id":"W4225716271","doi":"10.1109/tvt.2022.3167861","title":"Non-Orthogonal Multiple Access Assisted Secure Computation Offloading via Cooperative Jamming","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Universidade de Macau; National Natural Science Foundation of China","keywords":"Jamming; Computer science; Computer network; Computation offloading; Computation; Embedded system; Algorithm; Physics; Edge computing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007326123,0.0009169351,0.0006815458,0.0003383195,0.0005455108,0.0009395141,0.0006940918,0.0006763728,0.001141123],"category_scores_gemma":[0.001404836,0.0002632087,0.0005516565,0.0005610649,0.001206423,0.001291557,0.001160118,0.0006472141,0.0002467155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005709314,"about_ca_system_score_gemma":0.0006158031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008848816,"about_ca_topic_score_gemma":0.0008808605,"domain_scores_codex":[0.9991511,0.0002701971,0.00002685739,0.0001226001,0.0002338486,0.0001955133],"domain_scores_gemma":[0.9992031,0.0004167854,0.000145177,0.0000840972,0.0001081397,0.000042634],"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":[0.0002793252,0.0001206391,0.001424646,0.0002007888,0.00008067938,0.0007895997,0.0002757576,0.8335435,0.03139342,0.1071059,0.0007778422,0.02400802],"study_design_scores_gemma":[0.000006019813,0.00004776161,0.0001127565,0.000005067654,0.000009211117,0.00006958318,0.00003853807,0.9920477,0.001390642,0.005950057,0.0003148745,0.000007713584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08693684,0.0005263764,0.901522,0.0002711074,0.00007399453,0.0000551341,0.00002646726,0.00008898774,0.01049907],"genre_scores_gemma":[0.9782365,0.000287552,0.01919926,0.00006375869,0.00002747798,0.00004349259,0.00001071325,0.0000125659,0.00211866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001141123,"threshold_uncertainty_score":0.004142463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532184633608259,"score_gpt":0.2549824270583712,"score_spread":0.2396605807222885,"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."}}