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Record W3022576935 · doi:10.1002/mp.14249

Update of the CLRP TG‐43 parameter database for low‐energy brachytherapy sources

2020· article· en· W3022576935 on OpenAlexafffund

Bibliographic record

VenueMedical Physics · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Radiotherapy Techniques
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBrachytherapyMedical imagingData formatDosimetryDatabase theoryDistributed database

Abstract

fetched live from OpenAlex

Purpose To update the Carleton Laboratory for Radiotherapy Physics (CLRP) TG‐43 dosimetry database for low‐energy (≤50 keV) photon‐emitting low‐dose rate (LDR) brachytherapy sources utilizing the open‐source EGSnrc application egs_brachy rather than the BrachyDose application used previously for 27 LDR sources in the 2008 CLRP version (CLRPv1). CLRPv2 covers 40 sources ( Pd, I, and Cs). A comprehensive set of TG‐43 parameters is calculated, including dose‐rate constants, radial dose functions with functional fitting parameters, 1D and 2D anisotropy functions, along‐away dose‐rate tables, Primary‐Scatter separation dose tables (for some sources), and mean photon energies at the surface of the sources. The database also documents the source models which will become part of the egs_brachy distribution. Acquisition and validation methods Datasets are calculated after a systematic recoding of the source geometries using the egs++ geometry package and its egs_brachy extensions. Air‐kerma strength per history is calculated for models of NIST’s Wide‐Angle Free‐Air chamber (WAFAC) and for a point detector located at 10 cm on the source’s transverse axis. Full scatter water phantoms with varying voxel resolutions in cylindrical coordinates are used for dose calculations. New statistical uncertainties of source volume corrections for phantom voxels which overlap with brachytherapy sources are implemented in egs_brachy , and all CLRPv2 data include these uncertainties. For validation, data are compared to CLRPv1 and other data in the literature. Data format and access Data are available at https://physics.carleton.ca/clrp/egs_brachy/seed_database_v2 , http://doi.org/10.22215/clrp/tg43v2 . As well as being presented graphically in comparisons to previous calculations, data are available in Excel (.xlsx) spreadsheets for each source. Potential applications The database has applications in research, dosimetry, and brachytherapy treatment planning. This comprehensive update provides the medical physics community with more accurate TG‐43 dose evaluation parameters, as well as fully benchmarked and described source models which are distributed with egs_brachy .

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)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.018
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0060.007
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0050.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0180.020

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 head0.014
GPT teacher head0.277
Teacher spread0.263 · 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 designNot applicable
Domainnot available
GenreDataset

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".

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Citations29
Published2020
Admission routes2
Has abstractyes

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