Bibliographic record
Abstract
The prevalence of diabetes in children and youth <18 years of age is ∼1 in 400–500 (1). The prevalence of diabetes for those aged <19 years from 1995–2000 in Ontario was 1.87 per 1,000 (2). Type 1 diabetes is recognized as a T-cell–mediated autoimmune process with a strong genetic contribution (3,4). In 2003, the prevalence of autism spectrum disorder was reported in one study as 3.4 per 1,000 children (5) and in another as 6.7 per 1,000 children (4 per 1,000 children with autism) aged 3–10 years (6) in the U.S. Like type 1 diabetes, both immune-mediated and genetic factors have been implicated in the development of autism (7,8). Based on recent clinical experiences and on the putative autoimmune etiology of these two conditions, we hypothesized that there would be an increased prevalence of autism spectrum disorder in a population of children with type 1 diabetes. To investigate this hypothesis, a retrospective chart review of nearly …
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".