Pediatric Inflammatory Bowel Disease Clinical Innovations Meeting of the Crohn’s & Colitis Foundation: Charting the Future of Pediatric IBD
Bibliographic record
Abstract
The Crohn's & Colitis Foundation has facilitated transformational research in pediatric inflammatory bowel disease (IBD), through the RISK and PROTECT studies, that has laid the groundwork for a comprehensive understanding of molecular mechanisms of disease and predictors of therapeutic response in children. Despite these advances, children have lacked timely and informed access to the latest therapeutic advancements in IBD. The Crohn's & Colitis Foundation convened a Pediatric Resource Organization for Kids with Inflammatory Intestinal Diseases (PRO-KIIDS) Clinical Innovations Meeting at the inaugural Crohn's and Colitis Congress in January 2018 to devise how to advance the care of children with IBD. The working group selected 2 priorities: (1) accelerating therapies to children with IBD and (2) stimulating investigator-initiated research while fostering sustainable collaboration; and proposed 2 actions: (a) the convening of a task force to specifically address how to accelerate pharmacotherapies to children with IBD and (b) the funding of a multicenter clinical and translational research study that incorporates the building of critical research infrastructure.10.1093/ibd/izy205_video1izy205.video15799266615001.
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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 | 0.015 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.006 | 0.014 |
| Insufficient payload (model declined to judge) | 0.025 | 0.008 |
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".