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Record W2981031124 · doi:10.1017/cjn.2019.295

Unusual Presentation and Imaging Findings of a Rare Supratentorial Neurenteric Cyst

2019· article· en· W2981031124 on OpenAlexaffvenue
Eduardo Portela de Oliveira, John Woulfe, Carlos Torres, Nader Zakhari

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2019
Typearticle
Languageen
FieldMedicine
TopicTeratomas and Epidermoid Cysts
Canadian institutionsCanadian Electricity AssociationOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineHeadachesAsymptomaticMagnetic resonance imagingRadiologyGlasgow Coma ScaleLesionEmergency departmentNeurological examinationPresentation (obstetrics)Head traumaComa (optics)Surgery

Abstract

fetched live from OpenAlex

This is a case of a 30-year-old right-handed male patient who presented to the hospital in 2014 after hitting his head on the mat during a wrestling match followed by headache and temporary peripheral vision limitation. The patient's past medical history was unremarkable. On physical examination, Glasgow Coma Scale was 15 with no focal neurological deficits. Unenhanced head computed tomography (CT) and enhanced brain magnetic resonance imaging (MRI) were performed (Figure 1). The patient was managed conservatively, and follow-up CT and MRI in 2015 (Figure 2) demonstrated significant decrease in size of the previously seen right frontoparietal lesion with also changes in its radiological features. The patient remained asymptomatic for about 3 years when in 2018 he presented to the Emergency Department with increasing headaches and peripheral vision loss. MRI demonstrated an increase in the right frontal lesion size (Figure 3). He underwent surgical resection of the lesion.

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)0.003
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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.002
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.275
Teacher spread0.254 · 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

Citations2
Published2019
Admission routes2
Has abstractyes

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