Bibliographic record
Abstract
Histopathology revealed an increased cell density of oligodendrocytes (3350.5 cells/mm 2 , compared to 1683.6 cells/mm 2 in adjacent normal-appearing white matter, p < 0.001).Myelination (luxol fast blue staining) was normal.Supernumerary cells were negative for IDH1R132H by immunohistochemistry, IDH1/ 2 wildtype by Sequenom, and negative for Ki-67, synaptophysin, and BRAF V600E.The overlying cortex was completely normal, with no gliosis, balloon cell, neuronal dysmorophology or calcification.The original neuropathologic diagnosis was oligodendroglial hamartoma, although a more descriptive diagnosis of focal oligodendroglial hyperplasia is preferred.The patient continues to have 1-2 nocturnal partial (focal with dyscognitive features) seizures per month, but has had no convulsive seizure since her surgery (4.5 year follow-up).Oligodendroglial hyperplasia is a poorly characterized subtype of microdysgenesis, and a rare cause of medically refractory epilepsy.Histologically, it is important that it is differentiated from oligodendroglioma.Because of the paucity of published cases, the clinical impact of surgical resection of oligodendroglial hyperplasia found within the seizure onset zone is uncertain.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".