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Immature ovarian teratomas in anti-NMDA receptor encephalitis

2025· article· en· W7117355315 on OpenAlexaff
Kristen Simone, Nabeela Nathoo, Allyssa Hooper, Albert Aboseif, Andrew Buletko, Niranjala Satkunam, Jennifer A. McCombe, Sophia Pin

Bibliographic record

VenueJournal of Neuroimmunology · 2025
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Neurological Disorders and Treatments
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOvarian TeratomaTeratomaEncephalitisAutoimmune encephalitisDiseaseOvary

Abstract

fetched live from OpenAlex

Anti-N-methyl-d-aspartate receptor autoimmune encephalitis (NMDAR-AIE) is an immune-mediated neurological disease with manifestations including altered mental status, neuropsychiatric disturbance, movement disorders, seizure, and dysautonomia. NMDAR-AIE is associated with ovarian teratoma in half of cases, typically mature teratoma. NMDAR-AIE is rarely associated with immature ovarian teratomas. Here, we describe three cases of NMDAR-AIE associated with immature ovarian teratomas. We review diagnosis and management of immature ovarian teratomas in NMDAR-AIE as a collaboration between gynecology and neurology, with multi-disciplinary recommendations provided regarding workup and management.

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)0.002
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.273
Teacher spread0.266 · 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
Published2025
Admission routes1
Has abstractno

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