Direct-conversion flat-panel X-ray image detectors
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
Flat-panel X-ray image detectors have been shown to be suitable to replace the conventional X-ray film/screen cassettes for medical radiography (static or snapshot imaging). They are capable of capturing the X-ray image digitally immediately after the X-ray exposure which permits a convenient clinical transition to digital radiography. There are two general approaches to the flat-panel X-ray detector technology: direct and indirect conversions. The authors review the operating principles for direct conversion, and formulate and review the required X-ray photoconductor properties for enabling a successful direct conversion detector. Two important photoconductor requirements are discussed in detail, the X-ray sensitivity and dark current, both of which are topical current research areas in seeking the best photoconductor amongst a number of candidate semiconductors such a-Se, PbI2, HgI2 and others. The requirements of medical fluoroscopy (real-time imaging at very low exposure levels) is challenging this technology and demanding even higher X-ray sensitivity.
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 | 0.001 |
| 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