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Record W2793471880 · doi:10.1016/j.ebcr.2018.02.001

Teratoma-negative anti-NMDA receptor encephalitis presenting with a single generalized tonic–clonic seizure

2018· article· en· W2793471880 on OpenAlexafffund
Andy Cheuk‐Him Ng, Miljan Tripic, Seyed M. Mirsattari

Bibliographic record

VenueEpilepsy & Behavior Case Reports · 2018
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Neurological Disorders and Treatments
Canadian institutionsWestern UniversityUniversity of Ottawa
FundersUniversity of Ottawa
KeywordsTonic (physiology)NMDA receptorMedicineEncephalitisTeratomaAnti-NMDA receptor encephalitisAnesthesiaNeuroscienceReceptorPsychologyInternal medicinePathologyImmunologyVirus

Abstract

fetched live from OpenAlex

Herein, we describe a case report of anti-NMDA receptor encephalitis characterized by a single generalized tonic-clonic seizure and predominantly psychiatric symptoms, persisting long after EEG abnormalities had resolved. We discuss common presentations of anti-NMDA receptor encephalitis and advocate for the inclusion of this disease entity in the differential diagnosis of patients presenting with one generalized tonic-clonic seizure and prominent psychiatric symptoms.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
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 head0.024
GPT teacher head0.286
Teacher spread0.263 · 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

Citations3
Published2018
Admission routes2
Has abstractyes

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