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Record W2164023753 · doi:10.1093/rpd/ncq147

The effect of volume- and surface-distributed activity sources on surface doses

2010· article· en· W2164023753 on OpenAlexaff
Abdulkadir Aydarous

Bibliographic record

VenueRadiation Protection Dosimetry · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Radiotherapy Techniques
Canadian institutionsUniversity of Ontario Institute of Technology
Fundersnot available
KeywordsSurface (topology)Volume (thermodynamics)Environmental scienceMaterials scienceMathematicsPhysicsThermodynamicsGeometry

Abstract

fetched live from OpenAlex

The purpose of this study is to investigate and evaluate the effects of surface and volume activity distributions from spherical-shaped hot particles on surface doses at 4, 7 and 40 mg cm(-2) using the Monte Carlo neutron particle code. The work attempts to examine whether surface dose levels increase or decrease when activity, otherwise distributed throughout the sample volume, is all relocated to the sample surface. Apart from small diameter sources (<0.5 mm), the results clearly indicate that for all depths and source densities, calculated doses based on volume distributed activity are likely to be underestimated. The conversion factors vary depending on the source diameter, the source density and the thickness of the activity layer. To further enhance the study, a comparison between measurements and calculations was also made and discussed.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.245
Teacher spread0.241 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2010
Admission routes1
Has abstractyes

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