Bibliographic record
Abstract
To the Editor: We were pleased to see our concerns regarding the need for increased transparency and reevaluation of the practice of direct payment by the recipient echoed by transplant colleagues in Iran (1Khatami SM Mahdavi-Mazdeh M Perfect is the enemy of good: The Iranian system of paid donation.Am J Transplant. 2014; 14: 1222-1223Abstract Full Text Full Text PDF PubMed Scopus (5) Google Scholar,2Einollahi B Is proteinuria a common finding after kidney donation?.Am J Transplant. 2014; 14: 1224-1225Abstract Full Text Full Text PDF PubMed Scopus (2) Google Scholar). We are also pleased to learn that Iran is moving forward with developing a deceased donor program and applaud this achievement. We understand that implementation of a paid system of living donation was considered necessary in the absence of infrastructure to support deceased donor transplantation, but are unsure whether this approach enabled the development of a deceased donor program. Although most countries without transplant infrastructure first develop living donor programs out of necessity, payment is not a feature in countries other than Iran. Thus the justification for a paid system is unclear. Our concern with living donor payment is not with the amount paid. The fairness of a price that maintains a buyer’s market in which a backup donor is provided if the amount is unacceptable to the potential donor is problematic. We thank the writer for clarifying the amount of the payment (1Khatami SM Mahdavi-Mazdeh M Perfect is the enemy of good: The Iranian system of paid donation.Am J Transplant. 2014; 14: 1222-1223Abstract Full Text Full Text PDF PubMed Scopus (5) Google Scholar) but it is the fairness of this approach, rather than the actual amount, that remains our concern. Although we agree that reporting of a single measure of proteinuria by Fallahzadeh et al (3Fallahzadeh M Jafari L Roozbeh J et al.Comparison of health status and quality of life of related versus paid unrelated living kidney donors.Am J Transplant. 2013; 12: 3210-3214Abstract Full Text Full Text PDF Scopus (33) Google Scholar) is sub-optimal, the main concern was the difference in proteinuria between paid and unpaid donors in a relatively short time after donation. The manuscript was not prepared in any part by a commercial organization. The manuscript was not funded in any part by a commercial organization, including educational grants. The authors of this manuscript have no conflicts of interest to disclose as described by the American Journal of Transplantation.
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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 | 0.004 | 0.045 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.023 | 0.023 |
| Insufficient payload (model declined to judge) | 0.027 | 0.022 |
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".