Sci‐AM Fri ‐ 06: Boxes, locks and talks: Making Class II compliance in a regulated environment
Bibliographic record
Abstract
Class II facilities in general and cancer centers running a radiation therapy program in particular, are being subjected to increasingly more rigorous regulation by the Canadian Nuclear Safety Commission (CNSC). The mission of the CNSC to regulate the use of nuclear energy and materials to protect health, safety, security and the environment can sometimes run counter to the day‐to‐day reality of running a cancer clinic. The recent division of our hospital radiation safety program into two distinct components: Class II (radiotherapy) and other (diagnostic radiology, nuclear medicine, research and laboratories, and consolidated), resulted in a significant improvement in the organization and delivery of radiation safety services. Performing the duties of a Class II Radiation Safety Officer to meet compliance requires a delicate balance of paper‐pushing and common sense: two activities that are often at odds with each other. License activities covered by CNSC document C‐120, such as applications and renewals as well as annual compliance reports, will be discussed. Devices we have installed to facilitate compliance for teletherapy and brachytherapy (HDR and manual) licenses will be presented. Procedures accepted by the CNSC for in‐house leak testing and survey meter calibration (R‐116 and R‐117) and suggestions for facilitating CNSC inspections and audits will also be discussed. Finally, a description of our approach to meeting several recent compliance requirements by the CNSC Nuclear Security Division (within the scope of Prescribed Information limitations) at our cancer center will be reviewed.
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 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 | 0.025 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.095 | 0.062 |
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".