Bibliographic record
Abstract
4 November 2002 Dear Editor, COLONIC ATRESIA AND ASSOCIATED ANOMALIES We read with interest the excellent article by Azzie et al. entitled ‘Colonic atresia: From suspicion to confirmation on preoperative radiology’.1 We agree with the authors that colonic atresia is very rare. The authors mentioned that associated anomalies, although rare, include gastroschisis, skeletal abnormalities (amyoplasia congenita), Hirschsprung's disease and other intestinal atresias. Congenital varicella syndrome as a potential cause of colonic atresia often has been overlooked. There are approximately 100 cases of congenital varicella syndrome reported in the published scientific literature.2 Three of the cases had associated colonic atresia; two involved the sigmoid colon; and one involved the transverse colon.3−5 We have encountered another case of congenital varicella syndrome with several atretic areas in the ascending and rectosigmoid colon, the details of which will be published as a separate publication.6 The association of congenital varicella syndrome and colonic atresia might be more common than is generally appreciated and we would like to bring this to the attention of readers of this Journal.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.012 | 0.011 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".