{"id":"W4413359333","doi":"10.1109/twc.2025.3598493","title":"Hybrid Beamforming for RIS-Assisted Multiuser Fluid Antenna Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China","keywords":"Beamforming; Computer science; Electronic engineering; Telecommunications; Engineering","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":[0.0002323244,0.0006089438,0.0003912396,0.0001902894,0.0001534943,0.0004828506,0.0003718217,0.0004050049,0.001471047],"category_scores_gemma":[0.0004322473,0.0001971243,0.0003171524,0.0003472932,0.0003670893,0.000487826,0.0005840069,0.0004364378,0.000594691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002996746,"about_ca_system_score_gemma":0.0003140575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005645084,"about_ca_topic_score_gemma":0.0009611959,"domain_scores_codex":[0.9997686,0.00008011567,0.000007645467,0.00003905606,0.00007735874,0.00002731474],"domain_scores_gemma":[0.9998461,0.0000631311,0.00002705565,0.00001845086,0.00003240649,0.00001278071],"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":[0.0001256195,0.00003787921,0.0007345601,0.0001044546,0.00005906136,0.0001531637,0.0001048742,0.7216944,0.08584893,0.05650631,0.001809699,0.1328211],"study_design_scores_gemma":[0.000007135257,0.00005597717,0.00009824617,0.000004854583,0.000005301538,0.00003482659,0.00001191134,0.9894482,0.00396017,0.004324139,0.002038784,0.00001045751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009883693,0.0001324624,0.9871778,0.00006645591,0.0000209521,0.0000102243,0.00002285692,0.0001387683,0.002546839],"genre_scores_gemma":[0.6415859,0.0004984323,0.3518723,0.0001996378,0.00007325505,0.0001220881,0.0001342864,0.00004832241,0.005465718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001471047,"threshold_uncertainty_score":0.004921138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02536728067867118,"score_gpt":0.2599072417855767,"score_spread":0.2345399611069056,"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."}}