Bibliographic record
Abstract
Patients with chronic kidney disease (CKD) have high rates of acute kidney injury (AKI). In the other direction, some AKI does not resolve and a hospitalized patient may be left with CKD. However, most of the time an AKI episode is self-limited, and kidney function returns to a level that predated the acute injury. Two questions then surround the natural history of this latter type of AKI when a patient is discharged from the hospital: Did the AKI identify a group of patients who failed a “stress test,” patients predestined to have high rates of mortality and morbidity including CKD? Did the injury damage the kidney in such a way that there will be a faster rate of decline toward advanced CKD? Both questions are important for clinical care. The former question guides patient counseling and follow-up and emphasizes the outpatient testing and use of interventions proven to prevent CKD. The latter question also emphasizes the importance of preventing AKI and has particular implications for any intervention that prevents AKI at a high cost or with a possible risk of toxicity. In the current issue of JASN, Ishani and …
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.015 |
| Insufficient payload (model declined to judge) | 0.032 | 0.014 |
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".