{"id":"W7154699366","doi":"10.1109/iccce66530.2025.11474066","title":"AI-Empowered mm-Wave Antenna Design","year":2025,"lang":"","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Microstrip antenna; Antenna measurement; Patch antenna; Antenna factor; Antenna efficiency; Return loss; Antenna (radio); Bandwidth (computing); Coaxial antenna","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":[0.0001878064,0.00057882,0.0004111577,0.0003699432,0.0001229487,0.0009192926,0.001112756,0.001168571,0.005533068],"category_scores_gemma":[0.0003852017,0.0002543787,0.0004463947,0.0005379808,0.0001993357,0.0005773112,0.000419931,0.0005282203,0.005970528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005161529,"about_ca_system_score_gemma":0.0002170449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002176413,"about_ca_topic_score_gemma":0.0002367756,"domain_scores_codex":[0.9997655,0.00004916562,0.00001298122,0.00004259364,0.0001023866,0.00002745029],"domain_scores_gemma":[0.9997868,0.00003098417,0.00004937573,0.00003680753,0.00007853613,0.00001750921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003073899,0.0001105508,0.001781803,0.001010695,0.0001595404,0.0007061952,0.0002661428,0.08798943,0.4460632,0.0612517,0.01978749,0.3805658],"study_design_scores_gemma":[0.00006812847,0.0009978568,0.00223687,0.0001073382,0.0001021853,0.0021266,0.0001325212,0.5418623,0.1936679,0.009082035,0.249492,0.0001243283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02040083,0.001095132,0.9348843,0.000759784,0.0004817075,0.0001140452,0.0002796427,0.001376407,0.0406082],"genre_scores_gemma":[0.3839428,0.001585528,0.5788298,0.0005690529,0.000197893,0.0004039977,0.000497934,0.0001979129,0.03377515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005533068,"threshold_uncertainty_score":0.01850998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238889895172124,"score_gpt":0.2387766173908625,"score_spread":0.2163877184391413,"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."}}