Annual incidence of type 1 diabetes in Québec between 1989-2000 in children.
Bibliographic record
Abstract
PURPOSE: To document the number of new pediatric cases of type 1 diabetes diagnosed each year, from 1989 to 2000, in the province of Québec. To analyze secular trends and age of presentation during the same period. METHODS: Data, gathered through a government allocation program, provided the number of reported new cases. The data bank also made available the age at diagnosis, sex and geographic distribution of cases. RESULTS: A steady number of new cases, approximately 240 p.a., was diagnosed over the 12-years. The annual incidence in the pediatric population of Québec was 15 per 100,000. There was no trend towards earlier age at diagnosis. CONCLUSIONS: We found no evidence of increase in the number of children diagnosed with type 1 diabetes in Québec between 1989-2000. Also, over the same period, the data did not support a younger age at diagnosis.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".