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Record W2505415597 · doi:10.5114/fn.2016.60434

Lhermitte-Duclos disease with neurofibrillary tangles in heterotopic cerebral grey matter

2016· article· en· W2505415597 on OpenAlexaff
Daniel Rusiecki, Bolesław Lach

Bibliographic record

VenueFolia Neuropathologica · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsHamilton Health SciencesMcMaster University
Fundersnot available
KeywordsPachygyriaPathologyPTENCerebral cortexMedicineCerebellumCerebellar ataxiaAtaxiaBiologyNeuroscienceLissencephalyInternal medicineGeneticsGene

Abstract

fetched live from OpenAlex

Lhermitte-Duclos disease (LDD), a disorder first described by French physicians Lhermitte and Duclos in 1920 [25], is a benign, slow growing dysplastic gangliocytoma of the cerebellum, characterized by replacement of the granule cell layer by abnormal granule and Purkinje like cells. The most frequent presenting signs and symptoms are megalocephaly, increased intracranial pressure, nausea, hydrocephalus, ataxia, gait abnormalities, and intermittent headaches, all of which are attributed to the mass effect [6,11,25]. Many cases are associated with a mutation in the phosphatase and tensin homolog or PTEN gene which is also involved in numerous otherwise unrelated central nervous system abnormalities, namely Cowden syndrome [1,6,11], autism spectrum disorder [18], cerebral cortical dysplasia [11,30] and Bannayan-Riley-Ruvalcaba syndrome [30]. The presence of cortical heterotopia has been reported in a small number of LDD cases [3,5,17,32]. We describe a unique case of LDD with cerebral cortical heterotopic grey matter containing neurofibrillary tangles.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.009
GPT teacher head0.221
Teacher spread0.212 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations1
Published2016
Admission routes1
Has abstractyes

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