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Record W2547799090

Encapsulated source contact dose estimates incorporating secondary electron emission

2015· dissertation· en· W2547799090 on OpenAlexfundno aff
J. Cleary

Bibliographic record

Venuee-scholar@UOIT (University of Ontario Institute of Technology) · 2015
Typedissertation
Languageen
FieldEngineering
TopicRadiation Effects in Electronics
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Ontario Institute of Technology
KeywordsElectronMaterials sciencePhysicsEnvironmental scienceNuclear physics
DOInot available

Abstract

fetched live from OpenAlex

Secondary electron emission generated at the surface of thin material from interaction with gamma rays form a significant component of the surface dose. The intensity of this emission is known to vary with material composition and incident radiation energies. The goal of this research effort is to estimate the emission strength from radioactive sources utilized in the early history of cancer Brachytherapy, and develop dose conversion factors from that data. Data was obtained by utilizing a comparative stochastic analysis, conducted with the Monte Carlo radiation transport code MCNPX. Emission intensities were measured at the surface of source encapsulation and at increasing distances in tissue equivalent material. It is shown that the results obtained correlate to the historical trends, however the electron component of the simulated emission is of greater by several orders of magnitude than that previously estimated. The dose conversion factors found from simulation will assign a higher absorbed dose than those currently published. The corollary is that the current published values are under attributing dose for a given radiation injury, which hinders effective treatment.

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 categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.886
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.003
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 head0.005
GPT teacher head0.201
Teacher spread0.196 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2015
Admission routes1
Has abstractyes

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