Challenges and Possible Solutions to Pediatric Organ Donation and Transplantation in Turkey and the Middle East: Panel Discussion/Brainstorm Session Summary Report.
Bibliographic record
Abstract
Organ transplantation is the best therapeutic option for children with end-stage organ failure. Pediatric transplantation centers and prioritization of organs for children are being established around the world. However, there is an important discrepancy observed when comparing high-income countries versus low-income and middle-income countries, as programs are active in some, but not in many others. Deceased organ donation is low in many places, which has led to an increase of organ shortage; consequently, there is a need to rely on the use of living donor organs. This is frequently the case for pediatric transplantation. To gather information about the possible reasons underlying these challenges and to propose possible solutions, a brainstorming session took place during the International Symposium on Pediatric Organ Donation and Transplantation in Ankara, Turkey. A description on different topics that were discussed is presented herein.
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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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".