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Record W2989899107 · doi:10.22215/etd/2018-13234

Development of Mailed Dosimetric Audit for External Beam Radiation Therapy Using Alanine Dosimeters

2018· dissertation· en· W2989899107 on OpenAlexaboutno aff
Iymad Mansour

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicRadiation Effects and Dosimetry
Canadian institutionsnot available
Fundersnot available
KeywordsDosimeterDosimetryMedical physicsAuditProtocol (science)Nuclear medicineMedicineRadiation therapyDetectorComputer scienceRadiologyBusinessTelecommunications

Abstract

fetched live from OpenAlex

This project's aim is to provide the basis for an on-demand dosimetry service for the independent check of dose delivery in external beam radiation therapy in Canadian cancer centres. The service will use mailed alanine dosimeters, and therefore the main focus of the project was to develop a low dose, clinically applicable, alanine dosimetry protocol. Alanine dosimetry was originally developed for industrial uses of radiation (kGy dose levels) and there are a series of hurdles that have to be overcome to achieve acceptable accuracy at clinically realistic doses (a few Gy). Techniques for the correct readout procedure, choice of dosimeter, sample handling and detector operation were developed and/or adopted from the literature with the aim of obtaining dose measurements with an overall uncertainty below 1%.

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 categoriesInsufficient payload (model declined to judge)
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 score0.341
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.273
Teacher spread0.247 · 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.

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
Published2018
Admission routes1
Has abstractyes

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