Quantifying Macrophages and Hemosiderin in Pediatric Dura Mater,
Bibliographic record
Abstract
Determining the age of a subdural hematoma at autopsy is of great interest for medicolegal purposes. The appearance of pigment-laden macrophages is often referenced as evidence that the subdural hematoma is 3-4 days old. However, understanding the significance of macrophages and hemosiderin requires understanding the histology of infant dura. Samples of grossly unremarkable dura taken from 17 pediatric autopsies were identified and histologically confirmed to lack subdural neomembrane. CD68 immunostaining and Prussian blue staining was performed. The CD68-positive cells per high-power field were quantified, and the presence of iron-containing cells was recorded. CD68-positive cells were present in all cases, even in the dural border layer. Iron-containing cells were identified in 59% of cases, and in the dural border layer in 29%. Therefore, CD68-positive and iron-containing cells can be present in pediatric dura without neomembrane or macroscopic subdural hemorrhage, and this requires consideration when estimating the age of a subdural hematoma.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".