Sci‐Fri AM: Quality, Safety, and Professional Issues 02: Recent work on TQC Suite and Data from a National survey on Community Uptake
Bibliographic record
Abstract
The Canadian Partnership for Quality Radiotherapy (CPQR) and the Canadian Organization of Medical Physicist's (COMP) Quality Assurance and Radiation Safety Advisory Committee (QARSAC) have worked together in the development of a suite of Technical Quality Control (TQC) Guidelines for radiation treatment equipment and technologies, that outline specific performance objectives and criteria that equipment should meet in order to assure an acceptable level of radiation treatment quality. Early community engagement and uptake survey data showed 70% of Canadian centers are part of this process and that the data in the guideline documents reflect, and are influencing the way Canadian radiation treatment centres run their technical quality control programs. As the TQC development framework matured as a cross‐country initiative, guidance documents have been developed in many clinical technologies. Recently, there have been new TQC documents initiated for Gamma Knife and Cyberknife technologies where the entire communities within Canada are involved in the review process. At the same time, QARSAC reviewed the suite as a whole for the first time and it was found that some tests and tolerances overlapped across multiple documents as single tests could pertain to multiple quality control areas. The work to streamline the entire suite has allowed for improved usability of the suite while keeping the integrity of single quality control areas. The suite will be published by the JACMP, in the coming year.
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 | 0.022 | 0.087 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.007 | 0.016 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
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".