{"id":"W2004316630","doi":"10.1049/iet-com.2008.0362","title":"Beamforming technique to solve the hidden beam problem in wireless communication systems","year":2009,"lang":"en","type":"article","venue":"IET Communications","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Null (SQL); Beamforming; Beam (structure); Throughput; Antenna (radio); Wireless; Computer science; Planar array; Acoustics; Topology (electrical circuits); Mathematics; Telecommunications; Physics; Optics; Data mining; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001209487,0.0001371104,0.000208095,0.0002973401,0.0003333289,0.0001562218,0.005158789,0.00008610226,0.000001319305],"category_scores_gemma":[0.00008901984,0.0001209422,0.00005576998,0.001365139,0.0001085261,0.0007610932,0.0007757732,0.0003332623,0.00001299481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453184,"about_ca_system_score_gemma":0.00009441041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005557564,"about_ca_topic_score_gemma":0.000117868,"domain_scores_codex":[0.9985569,0.0002029811,0.0005930718,0.0001999212,0.0002472598,0.0001998427],"domain_scores_gemma":[0.9947001,0.0003829079,0.0002707925,0.004330375,0.0002590833,0.00005675616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000034084,0.0002859322,0.0001441032,0.00001688894,0.00001094054,2.442819e-7,0.003454093,0.0005189264,0.008391821,0.9260941,0.001103597,0.05997593],"study_design_scores_gemma":[0.00130525,0.001118582,0.01839138,0.004558033,0.00007928006,0.0001972654,0.00234941,0.3490007,0.1501428,0.4052212,0.06509466,0.002541384],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002316788,0.0003683345,0.9607686,0.0150965,0.00005493452,0.002256904,0.000005811705,0.0006975665,0.01843454],"genre_scores_gemma":[0.6137497,0.0001212223,0.385336,0.0001721708,0.000004955864,0.000570395,0.000008765121,0.000007082473,0.00002963313],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6114329,"threshold_uncertainty_score":0.9586399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221788947167241,"score_gpt":0.2964406925399306,"score_spread":0.2742617978232065,"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."}}