Erratum: Egyptian clinical practice guideline for deceased donor transplantation
Bibliographic record
Abstract
In the article titled “Egyptian clinical practice guideline for deceased donor transplantation”, published on pages 67-101, Issue 2, Volume 24 of Journal of The Egyptian Society of Nephrology and Transplantation[1], the list of authors, their affiliations, and the address for correspondence is incorrectly written as: Ahmed Halawa1, Muhammed Elhadedy2, Yasmine Naga3, Abeer Shehab4, Ahmed Elthakaby5, Ahmed Emara6, Ahmed Mostafa7, Ahmed Shokeir2, Mohamed Shaker8, Ashraf Donia5, Dawlat Belal8, Fatina Fadel8, Gamal Saadi8, Khaled Marzouk8, Magdy Elsharkawy6, May Hassaballa8, Mohamed S.E. Zaki5, Mohamed Eltemamy9, Khaled Refaai10, Mohamed H. Hafez8, Mohamed H. Mostafa11, Mohsen El Kossi12, May Hassaballa8 1Sheffield Teaching Hospitals, Sheffield 2Urology and Nephrology Centre, University of Mansoura, Mansoura, Egypt 3Department of Nephrology, University of Ain Shams Specialized Hospital (ASUSH), Egypt 4Department of Histocompatibility and Immunogenetics Laboratory, University of Ain Shams Specialized Hospital (ASUSH), Egypt 5National Institute of Urology and Nephrology, 6Department of Nephrology, Ain Shams University, 7College of Medicine, St. Paul’s Hospital, University of Saskatchewan, Saskatchewan, Canada 8Department of Nephrology, Cleveland Clinic, Cleveland, OH, USA 9Department of Urology and Robotic Surgery, Cleveland Clinic, Cleveland, OH, USA 10Urology, Alexandria University, Alexandria, Egypt 11Students’ Hospital, Cairo University, Cairo, Egypt 12Doncaster Royal Infirmary, Doncaster, UK Correspondence to Ahmed Halawa, MSc, MD, PGCE, MEd (Higher Education), FRCS, FRCS (Gen), Sheffield Teaching Hospitals, Sheffield Kidney Institute, University of Sheffield, Sheffield S5 7AU, UK. e-mail: [email protected] The correct list of authors, their affiliations, and addresses for correspondence should read as: Ahmed Halawa1*, Muhammed Elhadedy2, Yasmine Naga3, Abeer Shehab4, Ahmed Elthakaby5, Ahmed Emara6, Ahmed Mostafa7, Ahmed Shokeir2, Amr Shaker8, Ashraf Donia5, Dawlat Belal8, Fatina Fadel13, Gamal Saadi8, Khaled Marzouk8, Magdy Elsharkawy6, Mohamed Salah Eldin Zaki5, Mohamed Eltemamy9, Khaled Refaai10, Mohamed Hany Hafez8, Mohamed Hasan Mostafa11, Mohsen El Kossi12, Nahla M Teama6, Reem Mohsen El sharabasy6, Salma F. Rezk6, May Hassaballa8. 1Sheffield Teaching Hospitals, Sheffield, UK. 2Urology and Nephrology Centre, Mansoura University, Egypt. 3Nephrology Department, Alexandria University, Alexandria, Egypt. 4clinical pathology- Immunology department - Ain Shams University, Cairo, Egypt. 5National Institute of Urology and Nephrology, Cairo, Egypt. 6Nephrology Department, Ain Shams University, Cairo, Egypt. 7St. Paul’s Hospital _ College of Medicine, University of Saskatchewan, Canada. 8Nephrology Department, Cairo University, Cairo, Egypt. 9Urology and Robotic Surgery Dept, Cleveland Clinic, USA. 10Department of Urology, Alexandria University, Alexandria, Egypt. 11Students’ Hospital - Cairo University, Cairo, Egypt. 12Doncaster Royal Infirmary, Doncaster, UK. 13Paediatric nephrology department, Cairo University, Cairo, Egypt. *Correspondence to Professor Ahmed Halawa Sheffield Teaching Hospitals Sheffield Kidney Institute – University of Sheffield Email: [email protected]
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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 | 0.013 | 0.071 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.010 | 0.009 |
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".