{"id":"W4403534162","doi":"10.1109/access.2024.3483688","title":"Reduced Complexity Rate-Splitting Multiple Access Beamforming for Generalized Objectives","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Beamforming; Computer science; Computational complexity theory; Computer network; Algorithm; Telecommunications","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":[0.0008828292,0.001121103,0.0004912377,0.0002925966,0.0001646297,0.0006387244,0.0006048924,0.0005558623,0.002596352],"category_scores_gemma":[0.001624716,0.0003175203,0.0005150489,0.0005704366,0.0004125361,0.0005477912,0.0006028897,0.000728497,0.0006917953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004964106,"about_ca_system_score_gemma":0.0006649386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008079616,"about_ca_topic_score_gemma":0.001341276,"domain_scores_codex":[0.9993693,0.0002915529,0.00001954914,0.00005671958,0.0002111909,0.00005170186],"domain_scores_gemma":[0.9995642,0.0002250285,0.00005194648,0.00004122577,0.0001002222,0.00001739206],"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":[0.00009026453,0.00005786193,0.00025384,0.0001455953,0.00004583721,0.00008317756,0.00008450313,0.8396701,0.01725164,0.0700778,0.001447485,0.07079183],"study_design_scores_gemma":[0.00001276413,0.00005073214,0.00006908148,0.000008306844,0.000006311642,0.00003069159,0.000009883955,0.9894204,0.001286265,0.008172263,0.000926537,0.000006757527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00406547,0.00007715043,0.9935576,0.00004200008,0.0000075612,0.00002166811,0.00001841351,0.00004612415,0.002164053],"genre_scores_gemma":[0.4193254,0.0005365203,0.57414,0.0001329384,0.00005074402,0.0003423159,0.0001692132,0.00007817585,0.005224727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002596352,"threshold_uncertainty_score":0.008685648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08056467623865518,"score_gpt":0.3301411862765194,"score_spread":0.2495765100378642,"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."}}