Staging Intra-Abdominal Desmoid Tumors in Familial Adenomatous Polyposis: A Search for a Uniform Approach to a Troubling Disease
Why this work is in the frame
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Bibliographic record
Abstract
INTRODUCTION: Desmoid tumors are a clinical problem in 12 to 15 percent of patients with familial adenomatous polyposis. There is no predictably effective treatment for intra-abdominal desmoid tumors, which sometimes cause significant complications by their effects on the ureters or bowel. The relative rarity and the clinical heterogeneity of intra-abdominal desmoid tumors make randomized studies difficult to do. In this article a staging system is proposed to make multi-institutional studies easier. METHODS: Intra-abdominal desmoid tumors can be staged according to their size, clinical presentation and growth pattern. CONCLUSION: A way of staging intra-abdominal desmoid tumors is proposed to facilitate stratification by disease severity during collaborative studies of various treatments.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it