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Record W2057441735 · doi:10.3109/02713683.2014.922195

Sex Disparities in Neuro-Ophthalmologic Disorders

2014· review· en· W2057441735 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Eye Research · 2014
Typereview
Languageen
FieldMedicine
TopicCerebral Venous Sinus Thrombosis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineEtiologyOptic neuritisSarcoidosisNeuro-ophthalmologyCerebral venous sinus thrombosisDiseaseMultiple sclerosisOptic nerveOptic neuropathyDermatologyPediatricsPathologyOphthalmologyThrombosisSurgeryGlaucomaImmunology

Abstract

fetched live from OpenAlex

Many neuro-ophthalmic diseases have a clear sex predilection, which is important to recognize in making the diagnosis based on risk stratification and understanding the pathogenesis of the disease. This review discusses the more common neuro-ophthalmic diseases with a female predilection, including idiopathic intracranial hypertension, cerebral venous sinus thrombosis, meningioma, multiple sclerosis, migraine, breast-cancer associated neuro-ophthalmic manifestations, sarcoidosis, bisphosphonate-associated orbital inflammation, and pregnancy-related neuro-ophthalmic disorders. In addition, the male predominance in the clinical manifestation of Leber's Hereditary Optic Neuropathy is discussed. Lastly, the etiology of the sex discrepancies for each disease is explored.

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.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.974
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0000.001

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 head0.241
GPT teacher head0.502
Teacher spread0.262 · 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