Developing a cells, tissue and organ surveillance system
Bibliographic record
Abstract
BACKGROUND: An increasing number of cell, tissue and organ transplant procedures take place each year in Canada, including procedures in clinics, physician and dental offices. The Public Health Agency of Canada (the Agency) is leading the development of a Cell, Tissue and Organ Surveillance System (CTOSS). OBJECTIVE: To create timely, useful and relevant national-level transplantation adverse event data by supporting the development and / or enhancement of provincial and territorial data collection systems. METHODS: Minimum data elements and definitions were established for tissues based on definitions established in the European Union and the United States. Data collection on adverse events related to human allograft tissue transplants began in April 2011 at pilot sites in Alberta, Ontario, Quebec, New Brunswick and Nova Scotia. RESULTS: By December 2013, eight tissue transplantation adverse events were reported. Seven involved corneal tissue and one involved cardiovascular tissue. CONCLUSION: A fully developed CTOSS could increase Canadian capacity to improve patient safety. Data collection and analysis could increase the potential for a better understanding of transplantation adverse events, subsequently inform the development of strategies for overall prevention and reduce the severity of such events. The next steps in developing CTOSS will be to establish data elements and definitions for the cell and organ transplant components of the system and increase the number of pilot sites.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".