{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001856623,0.0001349168,0.0002184366,0.0001242578,0.00003599948,0.00008445299,0.0001697992,0.0001370844,0.000004011908],"category_scores_gemma":[0.00002575191,0.0001225999,0.0001290491,0.0001697229,0.00001959581,0.0001849238,0.00001365014,0.0002986923,2.116071e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007506772,"about_ca_system_score_gemma":0.00004262082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007693192,"about_ca_topic_score_gemma":0.00000210662,"domain_scores_codex":[0.9990486,0.00001866329,0.0004038406,0.0001598648,0.0001730734,0.0001959873],"domain_scores_gemma":[0.999152,0.00033622,0.0001202515,0.00006944624,0.0002712227,0.00005086168],"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":[0.00001127569,0.00004267494,0.0000555038,0.0000329957,0.0003217902,0.00000157567,0.0001469552,0.9893755,0.00003209927,0.0002324578,0.00005124433,0.009695882],"study_design_scores_gemma":[0.0001703166,0.00009041912,0.00001025379,0.00009892244,0.00008391264,0.00005114378,0.00007337314,0.998619,0.0001226046,0.0001575601,0.0004544103,0.00006804773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001119319,0.004517436,0.9937885,0.00006986859,0.0002679935,0.0001105008,0.00001056127,0.00003833885,0.00007744273],"genre_scores_gemma":[0.9304392,0.003066414,0.06602883,0.00004064534,0.000332851,0.00002267685,0.00002090502,0.00003002355,0.000018495],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9293199,"threshold_uncertainty_score":0.4999477,"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."}}