Stacked Pie Cage In Vivo Mouse Dosimetry Involving Multiple Sources and Energies
Bibliographic record
Abstract
The study measures the dose for phantom mice within three stackable pie cages, using all of the most common irradiation devices used in radiobiology today. It facilitates determination of net scatter factors for irradiation caused by the cages and mice being in the beam, at energies ranging from 160 keV to 15 MV. In vivo radiation measurements using TLDs on phantom mice were used to approximate the dose at each pie cage stack level. Irradiation devices include a particle accelerator at 6, 10 and 15 MV, cobalt unit at 1.253 MeV, cesium unit at 662 keV, and a standard x-ray unit at 160 keV. Energy dependence was observed with respect to the dose given. Dose change irregularities were consequentially a result of attenuation and scatter throughout the pie cage. This dose dependence on energy was found to increase with increasing photon energy. Dose results from stacked cage irradiation were found to be within SF=0.701-2.508 (-30% to +251%) of the calibrated dose output. Radiation measurements suggest considerable dosimetric differences exist to mice at each level when pie cages are stacked. Results varied remarkably when also including a change in the incident photon energy beam. Researchers may make use of plots offered in this research to estimate corrections to the calculated irradiation time needed to arrive at the prescribed radiation dose to mice at any level. Data provided directly correlate to the dose given to real mice at any energy using this same geometry.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".