{"id":"W4321610183","doi":"10.7716/aem.v12i1.1988","title":"Taguchi-RBF Neural networks Based Optimization of Phased Array Antenna With Coupling Effects","year":2023,"lang":"en","type":"article","venue":"Advanced Electromagnetics","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Moncton","funders":"Umm Al-Qura University","keywords":"Artificial neural network; Coupling (piping); Radial basis function; Phased array; Antipodal point; Computer science; Antenna (radio); Antenna array; Radiation pattern; Topology (electrical circuits); Electronic engineering; Algorithm; Engineering; Artificial intelligence; Mathematics; Telecommunications; Electrical engineering; Geometry","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":[0.00006721757,0.0002161921,0.0002386602,0.0001543215,0.0000624342,0.00001953438,0.0001156328,0.00008407319,0.00001148151],"category_scores_gemma":[0.00002898912,0.0002102125,0.00004373178,0.0009841344,0.00004547642,0.0001296797,0.000003594976,0.0001631657,0.000002283632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003254336,"about_ca_system_score_gemma":0.00001706113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.231622e-7,"about_ca_topic_score_gemma":0.000002527098,"domain_scores_codex":[0.9989641,0.00001616879,0.0002344814,0.0001978746,0.0001713646,0.0004160382],"domain_scores_gemma":[0.9994228,0.0001300876,0.00006818829,0.0002122426,0.00009639043,0.00007032711],"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":[0.00005745239,0.00001451433,0.00009690877,0.00005935508,0.0000130824,0.000004460805,0.00001619913,0.7518789,0.2471735,0.00001975909,0.0000143016,0.0006515728],"study_design_scores_gemma":[0.001098862,0.0007117107,0.0002279441,0.00006164466,0.00003885742,0.000002750522,0.00001065474,0.9636561,0.03393492,0.0000161765,0.0000101821,0.0002301748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06587614,0.0005133289,0.9323532,0.00002285141,0.0001393708,0.0003152901,0.000002753725,0.0006392234,0.0001378644],"genre_scores_gemma":[0.9608153,0.0003220047,0.0385251,0.00004001437,0.00003496134,0.00003040822,0.0001128544,0.00008338004,0.00003600211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8949391,"threshold_uncertainty_score":0.8572218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003653233730822738,"score_gpt":0.1904034078204242,"score_spread":0.1867501740896015,"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."}}