THE STANDFAST WHOLE BODY COUNTER AND THE SLICED BOMAB PHANTOM: EFFICIENCY AS A FUNCTION OF NUMBER OF SOURCES AND ENERGY MODELED BY MCNP5
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
Previously, using Monte Carlo simulations, this laboratory conceptualized a new phantom: the sliced Bottle Manikin Absorber (BOMAB) phantom. It was intended for calibration or performance testing of whole body counters and the HML subsequently built and tested that phantom. Also, this laboratory tested another phantom used for the calibration of the StandFast whole body counter and identified some deficiencies. This paper investigates the use of the sliced BOMAB phantom as an alternative for the calibration of the StandFast and shows how the 165 sources required for a full loading of the sliced BOMAB can be reduced to a much smaller number without compromising the calibration. The agreement of the sliced BOMAB with eight sources is approximately 1% when compared with a conventional BOMAB phantom.
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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) | 0.000 | 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