Measles Outbreaks and Implications for Patients Receiving Stem Cell or Cellular Therapies in Canada: Cell Therapy Transplant Canada (CTTC) Infectious Diseases Working Committee
Bibliographic record
Abstract
Measles exposures have historically been rare since the introduction of routine vaccination programs, resulting in a lack of attention from cancer patients, hematopoietic stem cell transplant (HCT) recipients, patients receiving cellular therapy (CT) and their healthcare providers. It is essential to acknowledge the importance of vigilance in these situations. Measles herd immunity has declined significantly in North America due to rising vaccine hesitancy, resulting in outbreaks. Measles can result in severe outcomes, and its reemergence has raised alarm among patients and healthcare professionals caring for HCT/CT recipients. Patients with severe immunocompromising conditions cannot receive live-attenuated vaccines, such as the measles vaccine. The lack of data on measles prevention in this vulnerable group presents significant clinical challenges. In response, Cell Therapy Transplant Canada (CTTC) Infectious Diseases Working Committee has developed a set of frequently asked questions to provide expert guidance to HCT and CT recipients, acknowledging the limited evidence base.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".