{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001046452,0.0001358637,0.0001632131,0.0002128126,0.0004389475,0.00003874367,0.0004026826,0.0001087548,0.000006473425],"category_scores_gemma":[0.000003979263,0.0001505889,0.00008839872,0.0003762012,0.00006268209,0.0001370598,0.000001649502,0.0002284579,0.00001894343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000114927,"about_ca_system_score_gemma":0.00003565065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003122724,"about_ca_topic_score_gemma":0.00006464589,"domain_scores_codex":[0.9993278,0.00003667589,0.0002748301,0.000120935,0.00006755444,0.0001721848],"domain_scores_gemma":[0.9987042,0.000271701,0.00002929226,0.0008335079,0.0001191408,0.00004217753],"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":[0.00001611921,0.000103455,0.000002599812,0.0001023571,0.0001188635,1.110762e-7,0.0003081397,0.9770839,0.003036759,0.004608424,0.000620156,0.01399917],"study_design_scores_gemma":[0.0003105421,0.00001924846,0.000003567906,0.0001423709,0.00005526013,0.000001310343,0.0002765636,0.9879351,0.003862697,0.00006295621,0.00718561,0.0001448052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006264434,0.0003275183,0.9946939,0.0002885777,0.0006115803,0.0005428682,0.00007591428,0.0004489244,0.002384312],"genre_scores_gemma":[0.9764656,0.001538617,0.01975023,0.00006454268,0.00001890204,0.0006150902,0.00003637124,0.00003595594,0.001474679],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9758392,"threshold_uncertainty_score":0.6140837,"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."}}