Fourteen-Year Study of Hospital Admissions for Diverticular Disease in Ontario
Bibliographic record
Abstract
BACKGROUND: Diverticular disease is one of the most common gastrointestinal conditions affecting the Canadian population, yet very little is known about its epidemiology. OBJECTIVE: The aim of the present study was to measure the rate of hospital admission for diverticular disease by age and sex over a 14-year period in the population of Ontario. PATIENTS AND METHODS: The present study was a retrospective, population-based cohort study of all hospital admissions for diverticular disease from 1988 to 2002. RESULTS: There were 133,875 hospital admissions during the period. Admission rates increased with age, and women were admitted at higher rates than men across all age groups. CONCLUSION: Diverticular disease is an important cause of gastrointestinal morbidity. As the population ages, a rise in the incidence of diverticular disease can be anticipated. Future studies to explain sex difference in admissions are required.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".