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Record W2398259288 · doi:10.3109/08820538.2015.1131835

Ptosis Repair in Ocular Myasthenia Gravis

2016· article· en· W2398259288 on OpenAlexaff
Michel J. Belliveau, James H. Oestreicher

Bibliographic record

VenueSeminars in Ophthalmology · 2016
Typearticle
Languageen
FieldMedicine
TopicMyasthenia Gravis and Thymoma
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineMyasthenia gravisPtosisSurgeryOcular myastheniaOphthalmologyOptometryImmunology

Abstract

fetched live from OpenAlex

Ptosis repair was performed in patients with ocular myasthenia gravis by a posterior approach (Fasanella-Servat, 12 eyelids of nine patients) or levator advancement (eight eyelids of five patients) techniques. There were eight males and five females. Median age was 73 years and range 30-86 years. The median duration of myasthenia was 10 years and range 2 to 28 years. Pyridostigmine and prednisone were widely used prior to surgical referral, but ineffective or intolerable in all. The mean preoperative upper margin-reflex distance (MRD) was 0.55 mm (range -1 to 2 mm). The levator excursion range was 10 to 16 mm and mean 12.4 mm. Mean follow-up was 9.1 months. Postoperatively, the MRD ranged from 0.5 to 4 mm, with a mean of 2.3 mm. Two patients had lagophthalmos postoperatively (one posterior approach, one levator advancement) that did not require correction. Three of five patients who underwent levator advancement required repeat ptosis repair.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.290
Teacher spread0.275 · 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

Citations6
Published2016
Admission routes1
Has abstractyes

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