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Monte Carlo Modeling of the Effects of Injected Short-, Medium- and Longer-Range Alpha-Particle Emitters on Human Marrow at Various Ages

2001· article· en· W2176336438 on OpenAlexaff
Tammy D. Utteridge, D.E. Charlton, Barry Allen

Bibliographic record

VenueRadiation Research · 2001
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsConcordia University
FundersIan Potter Foundation
KeywordsAlpha particleHaematopoiesisMonte Carlo methodRange (aeronautics)PopulationBone marrowAlpha (finance)Nuclear medicinePhysicsStem cellMaterials scienceMedicineImmunologyBiologyNuclear physicsStatisticsSurgeryMathematicsGenetics

Abstract

fetched live from OpenAlex

The effects of injected short-, medium- and longer-range alpha-particle emitters ((149)Tb, (211)At/(211)Po and (213)Bi/(213)Po, respectively) on the total hemopoietic stem cell population of active normal bone marrow in humans of various ages has been estimated using Monte Carlo modeling. The fraction of the normal hemopoietic stem cells that are hit and survive has been calculated as a first step toward estimating the risk of development of therapy-induced leukemia. The fraction was lowest for the shorter-range alpha-particle emitter ((149)Tb) and highest for the longer-range alpha-particle emitter ((213)Bi/(213)Po), with the value for the medium-range alpha-particle emitter (211)At/(211)Po being intermediate between these. There was little variation in the data with the age of the subject within each alpha-particle emitter. This lack of age dependence provides reassurance that the fraction of cells hit in any subject of any age with normal marrow can be estimated by modeling newborn marrow (which requires little computing time) despite age-related differences in microarchitecture.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.233

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.088
GPT teacher head0.413
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2001
Admission routes1
Has abstractyes

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