{"id":"W4406891749","doi":"10.1109/tvt.2025.3533586","title":"Information-Bearing RIS Enabled NOMA System","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Noma; Bearing (navigation); Computer science; Engineering; Telecommunications; Telecommunications link; 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":[0.0003211621,0.0006776939,0.0005656748,0.0003089754,0.0006652058,0.000848861,0.0007117464,0.0005532309,0.001115459],"category_scores_gemma":[0.0005291008,0.00017327,0.0003896592,0.0003914267,0.000651947,0.0007990851,0.0008697406,0.0005276594,0.0004403558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003307418,"about_ca_system_score_gemma":0.0003947549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00083581,"about_ca_topic_score_gemma":0.001078552,"domain_scores_codex":[0.9995363,0.0001454766,0.00001591041,0.000100033,0.0001023405,0.00009992121],"domain_scores_gemma":[0.9996271,0.0001195255,0.00008068134,0.00005454026,0.00008416626,0.00003405519],"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":[0.0009235574,0.0002681719,0.005244376,0.0005196056,0.0002200585,0.002605663,0.0006816337,0.6416124,0.1345348,0.04601579,0.003715234,0.1636587],"study_design_scores_gemma":[0.00003079634,0.0004558878,0.0009526774,0.00001160397,0.00007311086,0.0005350688,0.0001204966,0.9818246,0.008282138,0.004324051,0.00335583,0.00003385072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2029453,0.001463714,0.7772639,0.0004747846,0.0002897499,0.000081131,0.0001056137,0.0005930734,0.01678278],"genre_scores_gemma":[0.9757094,0.0001970331,0.02096022,0.00009085351,0.00006784916,0.00003637169,0.0000289134,0.000007869974,0.00290157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001115459,"threshold_uncertainty_score":0.003731608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004483939507809492,"score_gpt":0.2032027373972122,"score_spread":0.1987187978894027,"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."}}