Report of the workshop on biological dosimetry: increasing capacity for emergency response
Bibliographic record
Abstract
Recent events have brought increased attention to the possibility and dangers of a radiological terrorist threat and its potential implication on the national capacity for radiation accident preparedness. In such an event, there is a pressing need to rapidly identify severely irradiated individuals who require prompt medical attention from those who have not been exposed or have been subject to low doses. Initial dose assessment is a key component in rapid triage and treatment, however, the development of accurate methods for rapid dose assessment remains a challenge. In this report, the authors describe a recent workshop supported by the Chemical, Biological, Radiological-Nuclear and Explosives Research and Technology Initiative regarding the international effort to increase biological dosimetry capacity to effectively mount an emergency response in a mass casualty situation. Specifically, the focus of the workshop was on the current state of biological dosimetry capabilities and capacities in North America, recent developments towards increasing throughput for biological dosimetry and to identify opportunities for developing a North American Biological Dosimetry Network and forming partnerships and collaborations within Canada and the USA.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".