{"id":"W4416286437","doi":"10.1109/tifs.2025.3633576","title":"Rethinking Secure Resource Allocation: When NOMA Meets Finite Blocklength","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Information Forensics and Security","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Science and Technology Innovation 2025 Major Project of Ningbo; Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Secrecy; Noma; Decoding methods; Transmission (telecommunications); Telecommunications link; Secure transmission; Throughput; Base station; Resource allocation","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":[0.0003756496,0.0005047059,0.0004517397,0.0007405722,0.0009869636,0.0003187244,0.000524785,0.0006730619,0.00006133765],"category_scores_gemma":[0.00006124132,0.0005890447,0.0001637889,0.000805695,0.0003460597,0.001692009,0.0000228606,0.001533493,0.00004002884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002701391,"about_ca_system_score_gemma":0.00009831037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003136072,"about_ca_topic_score_gemma":0.00008322579,"domain_scores_codex":[0.9976717,0.00008018067,0.001111137,0.0003054082,0.0003902589,0.0004413004],"domain_scores_gemma":[0.9976453,0.000463058,0.0002860477,0.001139822,0.0003483799,0.0001174203],"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":[0.0001339747,0.0001027467,0.000008856779,0.0008777085,0.0003758863,0.000001612017,0.02849646,0.4418382,0.00003866874,0.1151475,0.002347317,0.4106311],"study_design_scores_gemma":[0.001574508,0.0001535278,0.00003668431,0.0008451241,0.0001527745,0.00001248846,0.003567938,0.6694105,0.0138037,0.103513,0.2060515,0.0008783562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005894761,0.0009241974,0.9781176,0.005002751,0.0008972981,0.0006996138,0.0002136082,0.0009395216,0.007310638],"genre_scores_gemma":[0.9870386,0.003704294,0.008250119,0.0006505276,0.00002398967,0.00009627295,0.00007020328,0.00003013005,0.0001359293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9811438,"threshold_uncertainty_score":0.9996561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009853650887080094,"score_gpt":0.2181044270048691,"score_spread":0.208250776117789,"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."}}