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Record W4309263709 · doi:10.1159/000526637

Superior Division Third Nerve Palsy as the Presenting Sign of Metastatic Breast Cancer

2022· article· en· W4309263709 on OpenAlexaff
Amir R. Vosoughi, Jonathan A. Micieli

Bibliographic record

VenueCase Reports in Ophthalmology · 2022
Typearticle
Languageen
FieldMedicine
TopicMeningioma and schwannoma management
Canadian institutionsKensington HealthUniversity of TorontoSt. Michael's HospitalUniversity of Manitoba
Fundersnot available
KeywordsMedicinePtosisPalsyMetastasisSurgeryRadiologyCancerPathologyInternal medicine

Abstract

fetched live from OpenAlex

The third cranial nerve divides into superior and inferior branches at the level of anterior carotid sinus and superior orbital fissure. In extremely rare scenarios, metastatic lesions at this location may present with divisional third nerve involvement. We here describe an 85-year-old woman who presented with superior division third nerve palsy due to breast cancer metastasis. Our case demonstrates the rare presentation of double vision and ptosis because of superior division third nerve palsy. The differential diagnosis for this examination finding should include metastatic disease even in the absence of a known cancer diagnosis. This case also reiterates that the "rule of the pupil" should not be applied to superior division third nerve palsy.

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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
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 head0.040
GPT teacher head0.336
Teacher spread0.296 · 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
Published2022
Admission routes1
Has abstractyes

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