{"id":"W4392619680","doi":"10.1002/jnm.3222","title":"A multi‐objective optimization approach for beam pattern synthesis of<scp>UAV</scp>virtual rectangular antenna array","year":2024,"lang":"en","type":"article","venue":"International Journal of Numerical Modelling Electronic Networks Devices and Fields","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Jilin University; People's Government of Jilin Province; National Natural Science Foundation of China","keywords":"Beamforming; Computer science; Radiation pattern; Omnidirectional antenna; Overhead (engineering); Real-time computing; Initialization; Antenna (radio); Antenna array; 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":[0.0004721043,0.0005126025,0.0004543746,0.0003466895,0.0002178448,0.0005399889,0.0005206178,0.000566526,0.001648643],"category_scores_gemma":[0.000592977,0.0002953117,0.0005226546,0.0004425141,0.0003244176,0.0003919158,0.000450015,0.0004012869,0.0002403734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003695739,"about_ca_system_score_gemma":0.0005849718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002604553,"about_ca_topic_score_gemma":0.00157199,"domain_scores_codex":[0.9998215,0.00006084173,0.000007102622,0.00003165223,0.00005710452,0.00002176254],"domain_scores_gemma":[0.9998254,0.00007725785,0.00002640314,0.00001148379,0.00005062824,0.000008769875],"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":[0.00001483134,0.00001248108,0.0001743505,0.00002639297,0.00001371898,0.00002259376,0.0000142871,0.9790053,0.002627552,0.002734761,0.0003055276,0.01504824],"study_design_scores_gemma":[0.000001984515,0.000008888078,0.00002820962,0.000001291257,0.00000136805,0.000003250865,0.000002726422,0.9992551,0.000242773,0.0002942103,0.0001590139,0.000001127184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01083035,0.0001174692,0.9860535,0.00007069758,0.00001836674,0.00001986718,0.00001634273,0.00007741902,0.00279603],"genre_scores_gemma":[0.628834,0.0002887702,0.3651175,0.0001170258,0.00003010461,0.0002452909,0.0001058463,0.00007129802,0.005190045],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002604553,"threshold_uncertainty_score":0.005515218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008276022065919809,"score_gpt":0.2213893280130287,"score_spread":0.2131133059471089,"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."}}