NOVEL IDEA GENERATION , COLLABORATIVE FILTERING , AND GROUP INNOVATION PROCESSES
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
Chronic kidney disease (CKD) is common among Muslim patients, and many such patients are keen to fast during the month of Ramadan. Fasting for prolonged periods may be deleterious for patients with CKD, but the changing season of fasting means that the duration of fast is very variable between geographical locations. There is, furthermore, a paucity of evidence to guide patients and clinicians in management of fasting in people with CKD. In this article, we aim to review the available evidence for patients with CKD and fasting, including haemodialysis and renal transplantation. We suggest that all patients with CKD should be deemed high risk or very high risk for fasting. We conclude, however, that patients with stable mild/moderate CKD (stage 1-3) may be able to fast providing they are carefully monitored and counselled. We also suggest that patients with stable renal transplants may also be able to fast, providing they are monitored carefully by their transplant team. Patients on haemodialysis or peritoneal dialysis should not be encouraged to fast, but if they do so, they will need careful weekly monitoring. There is an urgent need for high-quality data for patients with CKD who plan to fast over Ramadan, to enable more guidance to be developed for this vulnerable group of patients.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it