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: Hirschsprung disease is relatively common in children. Surgical techniques are available to remove the aganglionic bowel and reconstruct the intestinal tract. Despite many advances, these children may still be difficult to diagnose, and may have ongoing functional problems after surgical correction. RECENT FINDINGS: The genetic basis and cause of Hirschsprung disease are becoming increasingly clearer. Definitive diagnosis is based on rectal biopsy, but more sophisticated techniques are permitting earlier and more accurate diagnosis. Surgical correction has evolved from routine use of a colostomy and open laparotomy to one-stage transanal and laparoscopic approaches. The range of postoperative problems is reviewed so that the practicing pediatrician and primary care physician can effectively care for these children. Future advances may include better genotype-phenotype correlation and development of neuronal stem cell techniques. SUMMARY: Pediatricians and primary care physicians have an important role to play in diagnosing and managing children with Hirschsprung disease.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it