Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Grating-lobe suppression in low-profile planar high-gain antenna arrays has been always an interesting topic to antenna researchers. Grating lobes would appear in “visible” space when the element spacing of antenna arrays is large enough. In a uniform linear array, when the element spacing is greater than the operating wavelength, the grating lobe will definitely appear; when it is greater than half wavelength and less than a wavelength, the grating lobe would appear if the main beam is scanned to a large angle. In practical applications, only one main beam is required to exist in “visible” space; therefore, the array spacing is constrained by the application requirements. Nevertheless, increasing the element spacing is an attractive method to reduce the cost and manufacturing difficulty in antenna arrays, because it will reduce the number of elements of antenna arrays. Especially in millimeter-wave antenna arrays, additional challenges are introduced, such as the heat dissipation and the processing, tunable, and reliability difficulties. Increasing element spacing in antenna arrays is an effective solution to these challenges.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it