{"id":"W4406094368","doi":"10.1109/lwc.2025.3526756","title":"Performance Analysis of Rate-Splitting Multiple Access Technique in Impulsive Noise Environments","year":2025,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Noise (video); Computer network; Telecommunications; Artificial intelligence","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":[0.001559851,0.0006175528,0.0005803016,0.0005934293,0.0004565011,0.0008084179,0.0006554561,0.0006808885,0.00101671],"category_scores_gemma":[0.005521944,0.0002043239,0.0003086522,0.000811473,0.000795515,0.0007764917,0.0007072867,0.0005203256,0.0001687992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007620444,"about_ca_system_score_gemma":0.0006623612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001934083,"about_ca_topic_score_gemma":0.001192229,"domain_scores_codex":[0.9988531,0.0003980324,0.00003261185,0.00008610691,0.000445623,0.0001845603],"domain_scores_gemma":[0.9948568,0.003571533,0.0005182971,0.0002429369,0.000711151,0.00009926636],"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":[0.0003823174,0.00009460266,0.004152831,0.0002163974,0.00009761582,0.0005587988,0.0003425167,0.8730531,0.05452524,0.03397037,0.0005258769,0.03208034],"study_design_scores_gemma":[0.000003319873,0.00008043947,0.0004237433,0.00000551271,0.00001152954,0.0001294713,0.00002850914,0.9947378,0.003131866,0.001326608,0.0001115873,0.000009719387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4544017,0.001838357,0.5300919,0.0003584074,0.00004537204,0.00005550151,0.00008925491,0.0004139338,0.01270558],"genre_scores_gemma":[0.9913222,0.0002945631,0.007894763,0.00001665346,0.00001244842,0.000009777858,0.00001771764,0.00001221998,0.0004195959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001934083,"threshold_uncertainty_score":0.008249402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543575969316142,"score_gpt":0.2669357236220612,"score_spread":0.2514999639288998,"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."}}