Detecting diabetes complications in children
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
Abstract Clinical symptoms of diabetes‐related complications are very rare in children and adolescents with type 1 diabetes (T1D). Screening for complications aims to detect their presence shortly after development but before they cause clinically significant symptoms. Early detection of complications, alongside efforts to improve glycaemic control, can slow the progression of microvascular complications with consequently improved quality of life and life expectancy. An ideal screening programme should be evidence based and should include the majority of clinically important complications and associated diseases. Such programmes have been formulated by multidisciplinary bodies representing a number of specialist diabetes societies worldwide. The purpose of this review is to highlight the importance of screening for diabetes complications and comorbidities in T1D in childhood and to review and compare the latest guidelines of the International Society for Pediatric and Adolescent Diabetes, American Diabetes Association, Canadian Diabetes Association, Australian Government National Health and Medical Research Council, and the UK National Institute for Health and Clinical Excellence. Copyright © 2011 John Wiley & Sons.
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) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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