{"id":"W4412536693","doi":"10.1109/twc.2025.3588626","title":"Linear Receive Beamforming for CAPA Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Beamforming; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000525695,0.0009600794,0.0004589247,0.0003937953,0.0004028307,0.001349699,0.000448784,0.000929246,0.006541527],"category_scores_gemma":[0.001847691,0.0003364766,0.0003529998,0.0008023703,0.0006813753,0.0008483948,0.0008283707,0.0009906202,0.003018116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006687833,"about_ca_system_score_gemma":0.0006237951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120012,"about_ca_topic_score_gemma":0.001292867,"domain_scores_codex":[0.9994048,0.0001834995,0.00001720316,0.0001148257,0.0002152629,0.00006439817],"domain_scores_gemma":[0.9992482,0.0003840097,0.00007271938,0.00005859589,0.0002097179,0.00002669584],"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":[0.000297105,0.00006255141,0.0009584715,0.0005547652,0.0001037706,0.0004431194,0.0002286721,0.5395222,0.04368167,0.1458097,0.01359928,0.2547386],"study_design_scores_gemma":[0.00001450484,0.0001177779,0.0003446305,0.00003984543,0.0000236442,0.0002399096,0.00004487186,0.9671068,0.004577842,0.01923167,0.008226511,0.00003203512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004642996,0.001288663,0.9778657,0.0002898472,0.0001013676,0.0000249972,0.00008356871,0.0004801768,0.01522264],"genre_scores_gemma":[0.6429647,0.005604241,0.3266439,0.0009428669,0.0005330072,0.0003219244,0.0006073054,0.0001990851,0.02218299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006541527,"threshold_uncertainty_score":0.02188355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02423858015582712,"score_gpt":0.2601022529620372,"score_spread":0.23586367280621,"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."}}