Pediatric kidney transplant practice patterns and outcome benchmarks, 1987–2010: A report of the <scp>N</scp>orth <scp>A</scp>merican <scp>P</scp>ediatric <scp>R</scp>enal <scp>T</scp>rials and <scp>C</scp>ollaborative <scp>S</scp>tudies
Bibliographic record
Abstract
The NAPRTCS transplant registry has collected clinical information on children undergoing kidney transplantation since 1987 and now includes information on 11 603 kidney transplants in 10 632 patients. Since the first data analysis in 1989, NAPRTCS reports have documented marked improvements in outcome after kidney transplantation in addition to identifying factors associated with both favorable and poor outcomes. Patient demographics have changed over the course of the registry with a decrease in the percentage of white recipients from a high of 72% in 1987 to less than 43% in 2007. The percentage of living donors decreased to its lowest point in 2007 at 37%. Acute rejection rates continue to decline with improvements in short- and long-term graft survival. Recently, NAPRTCS data have been used as a source of benchmark data for pediatric kidney transplant centers.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".