The Rising Burden Of Inflammatory Bowel Disease In Canada
Bibliographic record
Abstract
The Impact of Inflammatory Bowel Disease report, produced by the Canadian Gastro-Intestinal Epidemiology Consortium (cangiec.ca) for Crohn’s and Colitis Canada is a serial policy report produced every 3–5 years that summarizes the existing literature on the epidemiology, burden, and impact of inflammatory bowel disease (IBD) in Canada and identifies knowledge gaps. Its goal is to inform people living with IBD and their caregivers, donors, physicians, researchers, policy makers, and other stakeholders about the current burden of IBD in Canada. It plays an integral role for Crohn’s and Colitis Canada’s advocacy efforts. In addition, the report informs the research funding policy of the health charity, which is the second largest non-governmental funder of IBD research in the world. The latest iteration of this report was released on June 1, 2023 and is available here. This article summarizes the current epidemiology of IBD in Canada and discusses its implications for clinical care in 2024 and beyond.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".