The generalized negative-refractive-index transmission-line and its applications
Bibliographic record
Abstract
The generalized negative-refractive-index transmission-line (NRI-TL) is presented. The generalized NRI-TL is a further development of the traditional NRI-TL and features two left-handed and two right-handed passbands. Thus, the generalized NRI-TL is well suited for making multi-band microwave passive components and antennas. Relevant background information on the traditional NRI-TL is given. The development of the generalized NRI-TL from the traditional NRI-TL is explained. An explanation of the mechanism of operation of the generalized NRI-TL is given and conditions are shown on how to close the corresponding stopbands that normally appear between bands at two frequencies. Several applications that harness the unique properties of the generalized NRI-TL are demonstrated; such applications include a quad-band quarter-wavelength matching circuit and a dual-band bandpass filter. Complete design procedures are presented as well.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".