Improving patient outcomes and radiotherapy systems: A pan‐Canadian approach to patient‐reported outcome use
Bibliographic record
Abstract
Standardized collection and use of clinical patient-reported outcomes (PRO) have potential to benefit the care of individual patients and improve radiotherapy system performance. Its centralized health-care system makes Canada a prime candidate to take a leader and collaborator role in international endeavors to promote expansion of patient-reported outcome collection and use in radiotherapy. The current review discusses the development of a pan-Canadian approach to PRO use, through a quality improvement initiative led by the Canadian Partnership for Quality Radiotherapy (CPQR), a unique partnership of Canadian radiotherapy professional organizations (Canadian Association of Radiation Oncology-CARO, Canadian Organization of Medical Physicists-COMP, and the Canadian Association of Medical Radiation Technologists-CAMRT).
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 | 0.055 | 0.082 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.010 | 0.021 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".