Bibliographic record
Abstract
The feasibility of imaging soft tissues with neutrons (neutron radiography) from a medical linac as a complement to the conventional X-ray portal imaging is proven. Both direct and indirect neutron radiographs have been successfully obtained. In the direct method, a film is exposed to the beam through a neutron converter. The latter transforms the neutrons into /spl gamma/-rays which subsequently darken the film. In the indirect method, a metallic foil is exposed to the neutrons in the beam and subsequently becomes activated. The resulting gamma rays from the decay of the activation reaction are subsequently used to darken a film and produce an image. In addition, because most of the neutrons generated are fast (average 1 to 2 MeV), a fast neutron radiograph has also been successfully obtained using a CR-39 plate. An exit dosimetry method is suggested for boron neutron capture therapy (BNCT) using neutron radiography. In this manner, the concentration distribution of boron-10 and/or the neutron capture dose in the irradiated region can be obtained through proper calibration. Possible clinical applications of neutron radiography with medical linacs are discussed.
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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) | 0.010 | 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".