Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
All patients with CKD have multiple risk factors for CVD and CAD in particular. Some of these risk factors such as age and gender cannot be modified. Others such as diabetes and hypertension are not only CVD risk factors but are also the cause of the patient's CKD. Finally there are a group of risk factors such as disturbances of mineral metabolism and oxidative stress which are present either uniquely in or are exaggerated by renal failure. PD gives patients a more atherogenic lipid and lipoprotein profile, puts them at greater risk for AGE formation and usually causes hyperinsulinemia. All of these contribute to CVD risk. However, they can also achieve excellent blood pressure control, usually easily reach targets for anemia management and have continuous ultrafiltration allowing for the maintenance of good volume status, all of which will reduce risk for CVD. All treatable risk factors should be treated early in the development of CKD and should continue through their time on dialysis and after transplantation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it