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Record W2015286012 · doi:10.1016/s0886-3350(01)00898-7

Using medical lubricating jelly in human cadaver eyes to teach ophthalmic surgery

2001· article· en· W2015286012 on OpenAlexaff
Eugene S. Liu, Kenneth T. Eng, Rosa Braga-Mele

Bibliographic record

VenueJournal of Cataract & Refractive Surgery · 2001
Typearticle
Languageen
FieldMedicine
TopicIntraocular Surgery and Lenses
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsCadaverSodium hyaluronateCorneaMedicineOphthalmic surgeryOphthalmologyVitreoretinal surgerySurgeryRetinal detachment

Abstract

fetched live from OpenAlex

Attempting to learn phacomemulsification through the severely edematous cornea of a human cadaver eye is often difficult. We propose a method of improving the view of the anterior chamber structures. Medical lubricating jelly is injected into the anterior chamber of a cadaver eye. After 10 minutes, excellent corneal clarity is achieved. There was no change in the corneal edema with the injection of sodium hyaluronate 1.4% (Healon GV as a control. Using medical lubricating jelly in place of viscoelastic material is an inexpensive, effective adjunct in ophthalmic surgical teaching.

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 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)0.005
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.069
GPT teacher head0.373
Teacher spread0.304 · 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 teacher head, not a consensus.

Study designObservational
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

Citations9
Published2001
Admission routes1
Has abstractyes

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