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
Field emission X-ray devices present numerous benefits compared to conventional X-ray sources, such as operating at lower temperatures, delivering enhanced spatial resolution, and consuming less power. These advantages are primarily due to the employment of field emission cathodes, which facilitate efficient electron emission at lower energy unlike thermionic sources. Owing to their superior electron emission properties, robust mechanical strength, and remarkable thermal stability, carbon nanotubes (CNTs) have emerged as a highly promising material for field emission cathodes. This review paper discusses the fundamental principles of X-ray generation, focusing on field emission-based structures. It highlights the superiority of CNTs in terms of stability, emission uniformity, and longevity, compared to conventional thermionic cathodes. The paper also explores advancements in CNT field emission arrays, detailing their integration into X-ray tubes, innovations in device design, and their applications in high-resolution imaging systems and medical diagnostics. Furthermore, the review addresses the challenges of scaling CNT emitters for commercial applications and their potential role in the next generation of X-ray technologies.
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