DRDC Ottawa Participation in the SILENE Accident Dosimetry Intercomparison Exercise. June 10-21, 2002
Bibliographic record
Abstract
DRDC Ottawa (and formerly as DREO) has participated in two NATO-sponsored and one TTCP-sponsored dosimetry intercomparisons. The SILENE International Accident Dosimetry Intercomparison Exercise at Valduc, France in June 2002 coincided with DRDC Ottawa work designed to refine its proposed criticality dosimetry system (consisting of Rh foils for neutron dosimetry and the combination of CaF2:Mn and Al2O3 TLDs for gamma-ray dosimetry). In addition, DRDC Ottawa has recently substantially expanded its efforts in radiation dosimetry - and this intercomparison offered a unique opportunity to showcase and quantify these new capabilities. The results presented herein conclusively show DRDC Ottawa's capabilities to measure accurately criticality fields. In particular the neutron dosimetric work produced near real-time results - consistent with the target doses. The Rh foils clearly demonstrated their arguably most important feature - near invariability of response for all conceivable fission-like spectra. The gamma-ray dosimeters also showed their efficacy. The SILENE International Accident Dosimetry Intercomparison Exercise at Valduc, France in June 2002 was implemented to test the international biodosimetry programs. DRDC Ottawa as well as several other countries participated in the international biodosimetry intercomparison. DRDC Ottawa used a Health Canada generated (137)Cs dose response curve to convert aberration frequencies into dose estimates.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".