{"id":"W4401163897","doi":"10.1109/bmsb62888.2024.10608327","title":"NUC Optimization Design for Multi-layer Layered Division Multiplexing","year":2024,"lang":"en","type":"article","venue":"","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"National Natural Science Foundation of China","keywords":"Division (mathematics); Computer science; Multiplexing; Time-division multiplexing; Layer (electronics); Materials science; Telecommunications; Composite material; Mathematics; Arithmetic","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":[0.000528106,0.0007744063,0.0003862538,0.0003653646,0.0003736455,0.0006667592,0.0005813637,0.0003744983,0.001338146],"category_scores_gemma":[0.001087891,0.0003138007,0.0003076196,0.0004310168,0.000402496,0.000778462,0.0007469648,0.0004328846,0.0002908469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116225,"about_ca_system_score_gemma":0.0007914279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001207313,"about_ca_topic_score_gemma":0.001418602,"domain_scores_codex":[0.9995592,0.0001363044,0.00001478878,0.00005296915,0.0001849364,0.00005181116],"domain_scores_gemma":[0.999619,0.000125743,0.00007753896,0.00002993621,0.000126966,0.00002085447],"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":[0.0001716527,0.00005562146,0.001022897,0.0001445411,0.00005057012,0.0001086203,0.00009264291,0.84562,0.05416688,0.04021882,0.001241625,0.05710609],"study_design_scores_gemma":[0.000005567627,0.00003699755,0.00008751322,0.000006021442,0.000007800189,0.0000255209,0.000007825606,0.9913135,0.00634135,0.001434295,0.0007248503,0.000008743101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03208609,0.000398843,0.9580718,0.00009815944,0.00003088221,0.00003893558,0.00004012807,0.0001858741,0.009049412],"genre_scores_gemma":[0.8103473,0.0003883341,0.186634,0.00006847477,0.00002556059,0.00009336578,0.00006708909,0.00007674978,0.002299111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001338146,"threshold_uncertainty_score":0.008098841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1281726165720752,"score_gpt":0.3101562909931163,"score_spread":0.1819836744210411,"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."}}