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Record W2107925125 · doi:10.1136/bjo.87.2.220

Repair of the lax medial canthal tendon

2003· article· en· W2107925125 on OpenAlexaboutno aff
Brid O’Donnell

Bibliographic record

VenueBritish Journal of Ophthalmology · 2003
Typearticle
Languageen
FieldMedicine
TopicFacial Rejuvenation and Surgery Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEyelidSurgeryAnatomyBlepharoplastyEctropionTendonDisplacement (psychology)Retractor

Abstract

fetched live from OpenAlex

edial canthal tendon (MCT) laxity is a common condition, usually age related and often causing symptoms of epiphora, discharge, irritation, and redness.MCT repair is more complicated than that of its lateral counterpart because of the intimate relation with the canaliculus (Fig 1).The position and patency of the canaliculus can be affected by any surgery to the canaliculus.Because of the problems with surgical repair, surgery is often delayed until the MCT laxity is advanced (Fig 2)For this clinical controversy, a panel of five eyelid surgeons was invited from Canada, England, France, and the United States to give their management for the symptomatic patient with MCT laxity and their surgical techniques according to the degree of laxity (Table 1).

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.020
GPT teacher head0.286
Teacher spread0.267 · 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

Citations22
Published2003
Admission routes1
Has abstractyes

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Same venueBritish Journal of OphthalmologySame topicFacial Rejuvenation and Surgery TechniquesFrench-language works237,207