{"id":"W4292348086","doi":"10.1109/tmtt.2022.3197751","title":"Artificial Neural Networks for Microwave Computer-Aided Design: The State of the Art","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial neural network; Computer science; Electronic engineering; Multiphysics; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009028849,0.0002299924,0.0002155517,0.00009527065,0.0004362616,0.00003489867,0.0002818694,0.00005439588,0.00001756762],"category_scores_gemma":[0.000003429125,0.0001690298,0.0001805014,0.0002111926,0.0001616717,0.0000480311,0.000008449826,0.0004649322,6.995e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004678421,"about_ca_system_score_gemma":0.00001306607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000239517,"about_ca_topic_score_gemma":0.000004816424,"domain_scores_codex":[0.9988453,0.000250928,0.0003286193,0.0002023357,0.000102407,0.0002704549],"domain_scores_gemma":[0.9990285,0.000501404,0.00005854604,0.0003401217,0.00003449933,0.00003692443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000159961,0.0000452962,2.308027e-7,0.00003536921,0.00008510816,0.000001155361,0.0003500918,0.4679101,0.4399996,0.0006440486,0.001328008,0.08944102],"study_design_scores_gemma":[0.0001051051,0.000187583,0.000001915543,0.00002405257,0.00005340833,0.00004693705,0.00004292735,0.07788005,0.9126679,0.007454278,0.001336268,0.0001996022],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04066211,0.0002189717,0.957338,0.00007186462,0.0005620846,0.0007052623,0.00008090398,0.0003007321,0.00006008312],"genre_scores_gemma":[0.9942349,0.00005805003,0.004986175,0.0001585937,0.00006642007,0.0002081571,0.000003627553,0.00005660509,0.0002274425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9535728,"threshold_uncertainty_score":0.6892834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302006556503257,"score_gpt":0.21294759729136,"score_spread":0.1999275317263274,"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."}}