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Record W3210260582 · doi:10.1088/0026-1394/58/1a/06020

APMP Key comparison report of reference air kerma rate for HDR <sup>192</sup> Ir brachytherapy sources (BIPM KCDB: APMP.RI(I)-K8)

2021· article· en· W3210260582 on OpenAlexaff
Junya Ishii, Tadahiro Kurosawa, Masahiro Kato, Paula Toroi, Chu Wh, C-Y Yi, Y H Kim, Young Min Seong, Sonwabile Arthur Ngcezu, Ernesto Mainegra‐Hing, B Downtonf, Mohd Taufik Dolah, C T Budiantari

Bibliographic record

VenueMetrologia · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Radiotherapy Techniques
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsMutual recognitionMathematicsKermaDosimetryNuclear medicineMedicine

Abstract

fetched live from OpenAlex

Main text The APMP/TCRI Dosimetry Working Group performed the APMP.RI(I)-K8 key comparison of the reference air kerma rate for high-dose-rate (HDR) 192 Ir brachytherapy sources between 2016 and 2018. Eight laboratories, including seven national metrology institutes (NMIs), took part in the comparison. Two commercial well-type chambers were used as transfer instruments and circulated among the participants. The results showed that the maximum difference between the participants and the BIPM, evaluated using the comparison data of the linking laboratories NMIJ and NRC, was less than 4%. The degrees of equivalence for the participants were calculated, so that results for the six non-linking laboratories may be included in the Key Comparison Database (KCDB). To reach the main text of this paper, click on Final Report . Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/ . The final report has been peer-reviewed and approved for publication by the CCRI, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.026
GPT teacher head0.312
Teacher spread0.286 · 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 designObservational
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

Citations2
Published2021
Admission routes1
Has abstractyes

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