{"id":"W7131154149","doi":"10.1109/idicaihei65991.2025.11378545","title":"Transformative Applications of AI in Antenna Design and Performance Optimization","year":2025,"lang":"","type":"article","venue":"","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Antenna (radio); Transformative learning; Process (computing); Wireless; Usability; Smart antenna; Emerging technologies","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":[0.0009179823,0.0009249636,0.000742239,0.0009256136,0.0002473062,0.001498301,0.0007945498,0.0009609158,0.002972092],"category_scores_gemma":[0.00199915,0.0004730088,0.0008889667,0.0009470161,0.001575776,0.0012956,0.0008821461,0.00151926,0.0009566306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007304745,"about_ca_system_score_gemma":0.000393131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000465605,"about_ca_topic_score_gemma":0.0004320868,"domain_scores_codex":[0.9994177,0.0001989976,0.00003488813,0.00009310462,0.0002261736,0.00002916904],"domain_scores_gemma":[0.9991695,0.0005256154,0.00006915666,0.00008932653,0.0001282449,0.00001813906],"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":[0.00007091255,0.00007340083,0.000933162,0.001640929,0.0001786516,0.0001874851,0.0003010757,0.358131,0.0241519,0.3580134,0.004484469,0.2518338],"study_design_scores_gemma":[0.00003317741,0.0002894278,0.0007091045,0.0003733301,0.0000951516,0.0004989597,0.0001513196,0.638473,0.01101847,0.255216,0.09305076,0.00009122548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004471319,0.01898471,0.9440077,0.0009412608,0.0002593698,0.00003482842,0.00003836161,0.0002117658,0.03105061],"genre_scores_gemma":[0.4286046,0.05877401,0.4882783,0.0009846841,0.001020008,0.0002839792,0.0001936953,0.0003469023,0.02151383],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002972092,"threshold_uncertainty_score":0.009942651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006825011859906332,"score_gpt":0.2137507145402758,"score_spread":0.2069257026803694,"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."}}