Bibliographic record
Abstract
SUMMARY: In this article, the authors review their approach to evaluation, operative management, and reconstructive technique. Brachial plexus injuries in the newborn are usually managed nonoperatively. The timing and indications for primary surgery vary significantly between institutions. The motor examination is used to determine which infants would benefit from operative management. Patients are selected based on established criteria, such as the Toronto Test Score, applied at age 3 months. However, some cases are initially less clear, and we may recommend delaying operative management until age 6 months or as late as age 9 months if the child fails the cookie test. Neuroma excision, sural nerve grafting, and nerve transfers are performed when indicated by clinical motor examination. The use of selective motor nerve transfers, either in combination with nerve grafting or alone, has allowed nerve coaptations to be performed closer to the neuromuscular junction, which may further improve regeneration. Children undergoing primary surgery experience low rates of perioperative morbidity, and they experience gains in motor function until 3 or 4 years postoperatively, at which point recovery stabilizes.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.006 |
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".