{"id":"W4413213218","doi":"10.1109/mmm.2025.3591080","title":"Automated Model Generation Method With Electromagnetic Sensitivity for Microwave Components","year":2025,"lang":"en","type":"article","venue":"IEEE Microwave Magazine","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Sensitivity (control systems); Microwave; Electronic engineering; Computational electromagnetics; Computer science; Electromagnetic field; Engineering; Telecommunications; Physics","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":[0.0002251057,0.0002123178,0.0002234669,0.0001486943,0.0001986063,0.0001061123,0.0002853594,0.00006912878,5.075346e-7],"category_scores_gemma":[0.000009849311,0.0002018028,0.00006909019,0.0004957447,0.00004026059,0.0001793615,0.00007497431,0.000112607,0.00001133435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001002713,"about_ca_system_score_gemma":0.0001162764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003419874,"about_ca_topic_score_gemma":0.00002382161,"domain_scores_codex":[0.998684,0.00006366863,0.0002620183,0.0005555557,0.000133459,0.0003012583],"domain_scores_gemma":[0.9989454,0.0001319512,0.0001132236,0.0004322997,0.0003228408,0.00005431167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001398176,0.00007189704,0.000001473011,0.00001532417,0.00002172,0.000002659903,0.00002224716,0.02797922,0.9153202,0.04103715,0.005736192,0.009777995],"study_design_scores_gemma":[0.0003463942,0.00006468264,0.00005923837,0.00001393356,0.00001478315,0.00002626731,3.989023e-7,0.6623262,0.3175973,0.01867943,0.0007229414,0.0001484807],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01026811,0.00003620915,0.9856737,0.001693074,0.00006644336,0.0007298983,0.0000185933,0.0007709219,0.0007430298],"genre_scores_gemma":[0.3208945,0.000003871043,0.6775124,0.0007872728,0.00003067974,0.0001308058,0.00005589359,0.00001262686,0.0005718876],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.634347,"threshold_uncertainty_score":0.822928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02423396476233597,"score_gpt":0.3064038095393349,"score_spread":0.2821698447769989,"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."}}