Increasing Incidence of Cirrhosis Over the Past 2 Decades Among Children in Ontario, Canada
Bibliographic record
Abstract
INTRODUCTION: We describe the incidence of cirrhosis in the general pediatric population. METHODS: This is a population-based study using health-care data from Ontario, Canada, between 1997 and 2017. Age-adjusted and sex-adjusted standardized incidence rates were described, and age-period-cohort modeling approach was used to estimate the independent effect of birth cohort. RESULTS: In total, 2,966 new diagnoses of cirrhosis among children were identified at a median age of 9 years. The incidence rate increased almost 4-fold over the study period (2.7/100,000 person-years in 1997 vs 10.6/100,000 person-years in 2017) with the highest increase seen in children younger than 1 year. DISCUSSION: In this first population-based study in children, the incidence of cirrhosis has increased dramatically over the past 2 decades.
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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 | 0.003 |
| 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".