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THE CANADIAN NATIONAL CALIBRATION REFERENCE CENTER FOR BIOASSAY AND IN VIVO MONITORING: AN UPDATE

2009· review· en· W1996525050 on OpenAlexaboutno aff
Joseph N. Daka, Gary H. Kramer

Bibliographic record

VenueHealth Physics · 2009
Typereview
Languageen
FieldMedicine
TopicRadiation Dose and Imaging
Canadian institutionsnot available
Fundersnot available
KeywordsQuality assuranceCalibrationDosimetryRadiation monitoringMedical physicsInternal dosimetryRadiation protectionEnvironmental scienceBioassayReference doseReliability engineeringComputer scienceMedicineNuclear medicineEngineeringRisk assessmentOperations managementStatisticsExternal quality assessmentBiologyComputer security

Abstract

fetched live from OpenAlex

The Canadian National Calibration Reference Center (NCRC) for Bioassay and In Vivo Monitoring is part of the Radiation Protection Bureau, Health Canada. The NCRC operates three performance testing programs that are designed to confirm that workplace monitoring results are accurate and provide the necessary external verification that is part of a comprehensive quality assurance program. The NCRC performance testing programs cover the in vitro, in vivo, and internal dosimetry parts of Canadian facilities' radiation protection programs. The internal dosimetry performance testing is a new addition to the performance testing suite. This summary also describes the recent reorganization of the NCRC.

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)0.004
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score0.241

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0090.011
Science and technology studies0.0010.001
Scholarly communication0.0020.004
Open science0.0040.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0080.008

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 head0.146
GPT teacher head0.439
Teacher spread0.293 · 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
GenreReview

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

Citations14
Published2009
Admission routes1
Has abstractyes

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