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: Diabetic patients with co-morbid mental illness are commonly encountered in clinical practice. Not only are diabetes and mental illness both common in the general population, but rates of diabetes are significantly higher in individuals with psychiatric disorders. This paper reviews literature related to the interplay between these pathologies and the consequent clinical challenge faced by physicians. METHODS: A systematic review was conducted, examining specific aspects of psychiatric illness which may affect diabetic outcomes. RESULTS: Decreased adherence is a feature of many psychiatric conditions, and can have a major effect on diabetic management and development of long term complications. Glycemic regulation may also be complicated by physiologic changes affecting carbohydrate metabolism. Patterns of counter-regulatory hormone secretion are altered in many psychiatric conditions, which may necessitate an altered diabetic treatment regimen. Further difficulties arise as many psychiatric medications have adverse metabolic effects. CONCLUSIONS: Diabetic patients with mental illness present a unique clinical challenge as a result of issues related to behaviour, physiology and medications. Clinicians should be able to recognize "problem patients" who may in fact have undiagnosed, treatable, psychiatric pathology. In patients carrying existing diagnoses, complicating factors to diabetic control should be recognized, and steps taken to minimize adverse effects.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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