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
PURPOSE OF REVIEW: To examine current issues in the diagnosis and treatment of diabetic polyneuropathy. RECENT FINDINGS: Diabetic neuropathies are common and rising in prevalence with the global burden of type 2 diabetes. Polyneuropathy is also emerging as a complication of impaired glucose tolerance, without frank diabetes. Ideas about the pathogenesis of diabetic polyneuropathy have evolved, and some new pathogenic mechanisms are being considered. These include roles for direct insulin signaling on neurons and axons that transduce growth signals, actions of the cleaved C-peptide product of the insulin prohormone, abnormal signaling by advanced glycation endproducts on neuronal and glial receptors and activation of poly (ADP-ribose) polymerase in microvessels and neurons. Manipulation of these pathways may offer new therapeutic approaches. Ideas about neuronal targets in the treatment of neuropathic pain have also advanced emphasizing abnormal sodium and calcium channel signaling. SUMMARY: Consideration of diabetic polyneuropathy as a unique neurodegenerative condition has generated interest in new pathways involved in its development. A new round of clinical trials that address its pathogenesis may be welcome, as recent attempts have been largely disappointing. In the interim, several forms of therapy for neuropathic pain are available.
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) | 0.002 | 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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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