Monte Carlo determination of age-dependent steady-state dose to red bone marrow and bone from 14C exposure
Bibliographic record
Abstract
Monte Carlo simulations were carried out to calculate the age-dependent dose from the beta decay of 14C to marrow and bone on the basis of a steady-state specific-activity model. A model of the trabecular cavity containing spherical fat cells in a square lattice surrounded by haemopoietic tissue was employed. The age-dependent 14C dose to haemopoietic (red) marrow was estimated taking account of the change in the fat cell size with fat fraction. Allowances were made for the change in the percentage cellularity and distribution of active marrow in the whole skeleton as a function of age. Age-dependent changes in trabecular cavity size and bone composition were found to have only a small effect on dose. Dose rates were estimated under steady-state conditions, for food ingested with a 14C specific activity of 1 Bq g(-1) of C. The equivalent dose rate to the haemopoietic tissue of a 20 year-old adult is 77 microSv a(-1), and 39 microSv a(-1) for a 3-month-old infant. Similarly, the equivalent dose rate to the bone surfaces of an adult is 48 microSv a(-1), and 38 microSv a(-1) for an infant. Therefore, the equivalent dose rate to marrow and bone stem cells increases with age under steady state conditions.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".