{"id":"W4404690429","doi":"10.1080/24751839.2024.2422145","title":"Partial relay selection for secure cooperative NOMA networks","year":2024,"lang":"en","type":"article","venue":"Journal of Information and Telecommunication","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec; Université du Québec à Rimouski","funders":"Université du Québec à Rimouski","keywords":"Noma; Relay; Selection (genetic algorithm); Computer network; Computer science; Power (physics); Telecommunications link; Artificial intelligence; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002870842,0.00008006031,0.0001136616,0.0002045326,0.0001033787,0.0001170811,0.0001879735,0.00009563552,0.000008549401],"category_scores_gemma":[0.00008848051,0.00007159654,0.00004075044,0.000236409,0.00003179305,0.001563223,0.00002849527,0.0003322549,0.000002719465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008049729,"about_ca_system_score_gemma":0.00002598299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.050699e-7,"about_ca_topic_score_gemma":0.000004042068,"domain_scores_codex":[0.9993386,0.00002330239,0.0004582489,0.00002842668,0.0000676025,0.000083868],"domain_scores_gemma":[0.9993163,0.0001595521,0.0001309171,0.0001547017,0.0002119431,0.00002654321],"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":[0.00002028713,0.000009810519,0.00007454625,0.00009050569,0.00007445177,8.845551e-8,0.0008090869,0.6425759,0.0003518065,0.02199715,0.002633709,0.3313627],"study_design_scores_gemma":[0.0001979018,0.00007586838,0.0001950935,0.00006723694,0.00001042407,0.00003884408,0.0002582535,0.8979883,0.001803187,0.0002341263,0.09905406,0.00007667288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03208095,0.003729345,0.9625354,0.0006158515,0.0002043538,0.0001814248,0.000004011999,0.0002673862,0.0003813094],"genre_scores_gemma":[0.9708853,0.006606895,0.02236014,0.00004007462,0.00004057758,0.0000239607,0.00002669506,0.000009527096,0.000006824426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9401752,"threshold_uncertainty_score":0.2919622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007541187396578758,"score_gpt":0.2407410909713784,"score_spread":0.2331999035747997,"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."}}