{"id":"W4407470244","doi":"10.36227/techrxiv.173948875.52704564/v1","title":"RIS-Empowered Rate-Splitting Multiple Access Towards 6G and Beyond Wireless Communications Networks: A Comprehensive Survey","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Wireless; Telecommunications; Computer network; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0004983058,0.0006616358,0.0009386075,0.0003611301,0.0003433852,0.0003480897,0.004125282,0.0007757018,0.00001537711],"category_scores_gemma":[0.0004030415,0.0007319761,0.000124314,0.0006166268,0.0004618524,0.0002939963,0.01227684,0.002162683,0.000004588565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002119482,"about_ca_system_score_gemma":0.000101222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007415558,"about_ca_topic_score_gemma":0.001467373,"domain_scores_codex":[0.9973614,0.0004323986,0.0009144745,0.0006250436,0.0001733665,0.0004933094],"domain_scores_gemma":[0.9917683,0.002595615,0.0002800708,0.004798444,0.0004724027,0.00008513915],"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":[0.00003876326,0.000110835,0.01410927,0.0008447175,0.0006362473,0.000002891764,0.0004064773,0.8772833,0.0002386327,0.002528301,0.002695296,0.1011053],"study_design_scores_gemma":[0.0005511246,0.0000101736,0.03057451,0.0003894675,0.00003769546,0.000001654049,0.0005175467,0.961377,0.001067591,0.001744544,0.002806833,0.0009218577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1559584,0.02589771,0.793381,0.001140445,0.001242712,0.002850061,0.001093889,0.008939082,0.009496734],"genre_scores_gemma":[0.9459485,0.03015648,0.02197665,0.0001399449,0.00002234167,0.0004730433,0.001053408,0.00008464018,0.0001449576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7899902,"threshold_uncertainty_score":0.9995131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0620966251320742,"score_gpt":0.3249167453867127,"score_spread":0.2628201202546385,"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."}}