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
Longstanding diabetes mellitus targets kidney, retina, and blood vessels, but its impact upon the nervous system is another important source of disability. Diabetic peripheral neuropathy is a serious complication of inadequately treated diabetes leading to sensory loss, intractable neuropathic pain, loss of distal leg muscles, and impairment of balance and gait. Diabetes has been implicated as a cause of brain atrophy, white matter abnormalities, and cognitive impairment and a risk factor for dementia. Recent studies have incriminated advanced glycation end products (AGEs) and their receptor (RAGE) in the pathogenesis of diabetic nervous system complications. The availability of RAGE knockout mice and a competitive decoy for AGEs, soluble RAGE (sRAGE), has advanced our knowledge of the RAGE-mediated signalling pathways within the nervous system. They also provide hope for a future novel intervention for the prevention of diabetes-associated neurological complications. This review will discuss current knowledge of diabetes- and RAGE-mediated neurodegeneration, involving the distal-most level of epidermal nerve fibers in skin, major peripheral nerve trunks, dorsal root ganglia, spinal cord, and brain.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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