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Record W2752782288 · doi:10.1111/1556-4029.13634

Quantifying Macrophages and Hemosiderin in Pediatric Dura Mater,

2017· article· en· W2752782288 on OpenAlexaff
Alison Krywanczyk, Elizabeth A. Bundock

Bibliographic record

VenueJournal of Forensic Sciences · 2017
Typearticle
Languageen
FieldMedicine
TopicChild Abuse and Related Trauma
Canadian institutionsOffice of the Chief Medical Examiner
Fundersnot available
KeywordsHemosiderinDura materPathologyAutopsyHematomaMedicinePia materImmunostainingMeningesHistologyStainingGiant cellSubdural hemorrhageAnatomyImmunohistochemistrySurgery

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.170

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.056
GPT teacher head0.335
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2017
Admission routes1
Has abstractyes

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