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
BACKGROUND: Type 2 diabetes mellitus is increasingly being observed among children and youth, including the Native population of Canada. Only one study has investigated prenatal and early infancy risk factors for the disease. METHODS: A case-control study was conducted; 46 patients younger than 18 years were recruited from the only clinical center for the treatment of diabetes serving the province of Manitoba, and 92 age- and sex-matched controls were recruited from a pediatric ambulatory clinic serving a large Native population in Winnipeg, Manitoba. Information on exposure to prenatal and early infancy risk factors was obtained through questionnaires administered by a Native nurse-interviewer. RESULTS: Multiple logistic regression modeling identified preexisting diabetes (odds ratio [OR], 14.4; 95% confidence interval [CI], 2.86-72.5), gestational diabetes (OR, 4.40; 95% CI, 1.38-14.1), and breastfeeding longer than 12 months (OR, 0.24; 95% CI, 0.13-0.99) as significant independent predictors of diabetic status. Other factors, such as low (<2500 g) and high (>4000 g) birth weight and maternal obesity, were also associated with diabetes in our population, but the elevated risks were not statistically significant. CONCLUSION: Breastfeeding reduces the risk of type 2 diabetes among Native Canadian children and should be promoted as a potential intervention to control the disease.
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 | 0.000 |
| 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