{"id":"W4402834128","doi":"10.1109/vtc2024-spring62846.2024.10683066","title":"Joint Optimization for Secure IRS-Assisted NOMA SWIPT Networks with Artificial Jamming","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Noma; Joint (building); Computer science; Jamming; Computer network; Engineering; Telecommunications link","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":[0.0008251871,0.001302518,0.0009396519,0.0002866586,0.0003136024,0.0009667603,0.0006282377,0.000757921,0.001216418],"category_scores_gemma":[0.001170581,0.0004916618,0.0006221326,0.0006508187,0.0008767963,0.0008658593,0.0009627761,0.0009066417,0.0003138088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007538092,"about_ca_system_score_gemma":0.000891873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001794948,"about_ca_topic_score_gemma":0.001998432,"domain_scores_codex":[0.9995199,0.0001960931,0.00001756592,0.00008563363,0.0001074819,0.00007330867],"domain_scores_gemma":[0.9995907,0.0002327662,0.00007008211,0.00002716753,0.00005987551,0.00001950458],"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":[0.00006135277,0.00002238562,0.0002401769,0.00006994688,0.00002928924,0.00009679698,0.00004046868,0.9730522,0.0040885,0.01067883,0.0004890854,0.01113089],"study_design_scores_gemma":[0.000004478355,0.00002005339,0.00004407489,0.00000270726,0.0000057321,0.00001412549,0.000008937865,0.9972923,0.0005026996,0.001913497,0.0001879242,0.000003378113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01853802,0.0002885611,0.9773175,0.0001501655,0.00002930775,0.00002729798,0.00004641196,0.00009756577,0.003505351],"genre_scores_gemma":[0.8623565,0.0006865643,0.1319139,0.0001237968,0.0000472873,0.0001694519,0.0001012399,0.0000576276,0.004543625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001794948,"threshold_uncertainty_score":0.005469263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02040559896937008,"score_gpt":0.225742009936712,"score_spread":0.2053364109673419,"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."}}