Living Anonymous Liver Donation: Case Report and Ethical Justification
Bibliographic record
Abstract
Most living organ donations are from genetically or emotionally related donors. Although some transplant centers are willing to accept donations from living anonymous kidney donors (LAKDs), very few centers will accept donations from living anonymous liver donors (LALDs). The difference in acceptance rates is primarily due to the greater risk in liver donation, which is estimated to be 10-fold that of the risk in kidney donation. We present a case of donation from a LALD, the first reported in Canada. There are currently no established standards for LALDs. Our criteria for the ethical acceptability of LALDs require such donors to be physically healthy, mentally competent, altruistic, highly motivated, well-informed and able to give voluntary consent to donation. Another major ethical criterion is that the likely psychological benefit to the LALD balances the physical risks. Our case demonstrates that transplants from LALDs are medically successful and ethically justified under certain conditions.
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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 | 0.001 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.014 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 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".