Comment on ‘Monte Carlo simulation on a gold nanoparticle irradiated by electron beams’
Bibliographic record
Abstract
A recent paper by Chow et al (Phys. Med. Biol 57 3323-31) quantifies the dose due to secondary electrons created by gold nanoparticles when irradiated by electron beams. That paper fails to compare this dose to the overall dose from the electron beam. EGSnrc calculations are performed to show that, even for the unrealistically favourable case presented by Chow et al of a very narrow electron beam directed only at the nanoparticle, the dose outside the nanoparticle due to the secondary electrons generated by the nanoparticle is negligible compared to the dose from the primaries. Thus, it is irrelevant whether the dose from secondary particles is enhanced by the nanoparticles or not and there appears to be no advantage to using gold nanoparticles in electron beams, unlike the case for photon beams.
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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) | 0.001 | 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 | 0.001 |
| 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".