Erratum: Monte Carlo study of ionization chamber magnetic field correction factors as a function of angle and beam quality. [Med. Phys. 45(2) p. 908‐925 (2018)]
Bibliographic record
Abstract
Figures 6 and 8 in our 2018 paper1 were found to be incorrectly plotted and should have the data flipped about the 180 mark of the angle axis. The updated figures are provided below. This error impacts Table III of the paper and the values in the 90 and 270 columns must be exchanged to provide the corrected Table III below. ”This is observed for all chambers, and is particularly highlighted for the Co simulations of the Exradin A1SL, Exradin A12S, and the PTW 31006 in which the chamber dose, in comparison to the 0 T results, decreases near the C-II orientation and increases near the C-IV orientation." “This is observed for all chambers, and is particularly highlighted for the Co simulations of the Exradin A1SL, Exradin A12S, and the PTW 31006 in which the chamber dose, in comparison to the 0 T results, increases near the C-II orientation and decreases near the C-IV orientation." © 2019 American Association of Physicists in Medicine [https://doi.org/10.1002/mp.13782] The authors thank Arman Sarfehnia and Viktor Iakovenko for bringing this error to our attention through their careful experimental measurements of ion chamber response as a function of angle in a 1.5 T magnetic field2.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".