Enabling electromagnetic applications of negative-refractive-index transmission-line metamaterials part II
Bibliographic record
Abstract
The 1-Dimensional (1-D) metamaterial phase-shifting lines presented in [1] can be used to develop compact and broadband, non-radiating, metamaterial feed-networks for antenna arrays. These can be used to replace conventional TL-based feed-networks, which can be bulky and narrowband. For series-fed arrays, the proposed metamaterial feed-networks have the advantage of being compact in size, therefore eliminating the need for conventional TL meander lines. In addition, the metamaterial feed-networks are more broadband when compared to conventional TL feed-networks, which enables series-fed broadside arrays to experience less beam squint when operated away from the design frequency. For parallel-fed arrays, the proposed metamaterial feed-networks have the potential to significantly reduce the size of the feed networks by completely collapsing the traditionally used TL-based binary tree feed-network.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".