Expanding the Phenotype of a Neurofibromatosis Type 1–Like Syndrome: A Patient With a SPRED1 Mutation and Orbital Manifestations
Post-publication record
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.
Bibliographic record
Abstract
A 4-year-old child with no medical history presented for evaluation of a small, palpable nodule near the left inferolateral rim. The lesion had a bluish hue and had been slowly enlarging over the course of several months. MRI of the orbits revealed a heterogenous and infiltrative preseptal and extraconal mass which enhanced with gadolinium, and sphenoid wing dysplasia on the left. A complete ophthalmic and physical examination failed to reveal any other stigmata of neurofibromatosis type 1 (NF1) or neurofibromatosis type 2 (NF2). An incisional biopsy of the palpable mass revealed a plexiform neurofibroma. Molecular sequencing of the NF1 and NF2 genes did not reveal causative mutations. Further investigation revealed a loss of function mutation in SPRED1 on chromosome 15. Although loss of function mutations in the SPRED1 gene are known to cause several dermatologic changes associated with the NF1-like phenotype, to our knowledge, this is the first description of a SPRED1 gene mutation resulting in ophthalmic abnormalities.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".