Nasopharyngeal Teratoma in a Neonate
Bibliographic record
Abstract
Teratomas are rare neoplasms in the nasopharyngeal area. They are composed of all germ cell layers and tend to be benign in all sites. Teratomas can cause dysphagia and respiratory problems. Diagnosing them antenatally helps to be prepared for possible complications that may occur after birth. Rised maternal AFP levels and polyhydramnios are seen and prompt further evaluations. In this case we present a Nasopharyngeal teratoma in a baby girl which occluded the airway and leaded to intubation. She developed seizures during her admission and since the mass was near to the CNS, MRI and neurological evaluations were preformed prior to the surgery. The mass was removed surgically after controlling the seizures with anticonvulsive therapy and ruling out any possible connections between the mass and the CNS. She was extubated two days after the surgery and was discharged after being successfully orally fed. J Neurol Res. 2020;10(2):48-51 doi: https://doi.org/10.14740/jnr578
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".