From WEDA to EDTA to ERA: 60 years of supporting European nephrology and counting
Bibliographic record
Abstract
Nephrology has evolved from treating kidney failure, first with dialysis and then with kidney transplantation, to identifying and treating early stages of kidney disease and eventually to prevent kidney disease from occurring. Similarly, the name of the European scientific society caring for people with kidney disease has evolved from the West European Dialysis Society Association to the European Dialysis and Transplant Association to the European Renal Association. These name changes reflect a deeper change in the mission of the society to the current mission of leading European nephrology by promoting kidney health for all, improving kidney care for patients, and strengthen the kidney community and the vision of a Europe where kidney health is prioritized, kidney health is accessible and the kidney community is thriving. We now review the major changes in the society over the years and present its current structure and focus as we face the largest projected increase to date in the global burden of kidney diseases.
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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 | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".