Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE OF REVIEW: Rhabdomyosarcoma is a rare childhood cancer that affects only approximately 300 children per year in the United States. The purpose of this review is to provide the reader a greater understanding of the complex diagnosis, assessment and treatment of rhabdomyosarcoma in children. RECENT FINDINGS: This review focuses on the new risk classification that is the foundation of all present rhabdomyosarcoma protocols developed by the Children's Oncology Group of the United States and Canada. The new risk classification of low, intermediate and high encompasses the staging and grouping categories that were previously utilized. SUMMARY: This review also provides a complete list of diagnostic tests and imaging required to identify rhabdomyosarcoma in any body site. Rapid diagnosis and recognition of this rare disorder will facilitate long-term survival. Rhabdomyosarcoma today has an overall survival of 70%, depending on the site, and in orbital and other sites survival is as high as 90%. The treatment approaches that have led to this doubling in survival over the last 25 years are reviewed. For a practitioner, this review can be used as a reference when a child with a suspicious mass is encountered.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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