Design of microwave structures with M<scp>EFISTO</scp>‐3<scp>D</scp>N<scp>OVA</scp>and M<scp>ATLAB</scp>optimization and neural network toolboxes
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Bibliographic record
Abstract
Abstract This paper introduces two time‐domain field‐based optimization procedures for microwave engineering. The methods are built on the foundations of M ATLAB 's optimization and neural network toolboxes. The first procedure makes use of a direct connection linking M ATLAB 's optimization toolbox with M EFISTO ‐3 D N OVA . In this approach the field simulator acts as an objective function server for the optimization toolbox; these two programs work cooperatively with each other to tune the structure parameters to obtain a target response. The second procedure is an indirect optimization approach that makes use of M ATLAB 's neural network toolbox in conjunction with M EFISTO ‐3 D N OVA to create a neural network model to emulate the structure of interest; the resulting neural network model is then used an objective function server in a normal M ATLAB optimization process. Copyright © 2006 John Wiley & Sons, Ltd.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it