K‐band backward diplexer in substrate integrated waveguide technology
Bibliographic record
Abstract
The first backward diplexer for K‐band substrate integrated waveguide (SIW) operation is presented. The advantage of this compact diplexer is having input and two output port interfaces at the same side of the substrate, which advances the applications of SIWs to more complex feed system assemblies. The diplexer has two bands at 20 and 21 GHz. The bandwidth of each band is 0.4 GHz, which gives 2 and 1.9% bandwidth at lower and higher bands, respectively. The diplexer is designed and analysed with the mode‐matching technique, and its performance is verified by comparison with simulated and measured data. The in‐band measured return and insertion losses are 14.65 dB/2.75 dB in the lower band and 13 dB/3.05 dB in the upper band.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".