Evaluation of Two Commercially Available Portal Monitors for Emergency Response
Bibliographic record
Abstract
The Human Monitoring Laboratory has compared two types (the P3 and the MiniSentry) of portal monitors that can be field deployed in response to an emergency. They can be used to screen persons for internal or external radioactive contamination by fission activation products (neither unit is capable of detecting alpha or beta radiation, and the amount of material required to alarm the monitors is unacceptably high for low energy x rays or gamma rays) following an incident involving the release of radioactive material (accidental or intentional). It was found that the P3 benefits from simplicity but requires slightly more activity to alarm than the MiniSentry, although for emergency response, the amount of activity that can be detected is far below a level where significant health effects will occur. The MiniSentry was found to have more capability than the P3, but these benefits also bring their own disadvantages. It was also found that the MiniSentry would be difficult to deploy in an outdoor setting whereas the P3 is well designed for a field setting. Despite the differences found, the HML has concluded that both have a distinct place in emergency monitoring. In the future, the HML plans to have both instruments ready for field deployment.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".