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Record W2004473197 · doi:10.1016/j.jcrs.2006.11.028

Primary piggyback implantation of 3 intraocular lenses in nanophthalmos

2007· article· en· W2004473197 on OpenAlexaff
Kathy Y. Cao, Marisa Sit, Rosa Braga-Mele

Bibliographic record

VenueJournal of Cataract & Refractive Surgery · 2007
Typearticle
Languageen
FieldMedicine
TopicIntraocular Surgery and Lenses
Canadian institutionsMount Sinai HospitalUniversity of Toronto
Fundersnot available
KeywordsIntraocular lensMedicineDioptreOphthalmologySiliconeIRIS (biosensor)PhacoemulsificationSulcusCapsulorhexisIntraocular lensesCataract extractionSurgeryVisual acuityMaterials science

Abstract

fetched live from OpenAlex

We present a patient with bilateral nanophthalmos who had uneventful cataract extraction in the right eye with primary implantation of 3 intraocular lenses (IOLs) of 2 different materials: a 30 diopter (D) acrylic IOL and a 9 D silicone IOL in the capsular bag and a 30 D silicone IOL in the ciliary sulcus. Subsequently, cataract extraction was done in the left eye with bag-sulcus implantation of two 30 D silicone IOLs. The use of 3 IOLs in 1 eye was necessary because the highest available power of acrylic and silicone IOLs at our institution was 30 D. The only short-term complications were temporary corneal edema and partial displacement of the sulcus IOL anterior to the iris in the right eye and bilateral posterior capsule opacification. The late complication of interlenticular opacification was not present 1 year after piggyback IOL implantation.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.290
Teacher spread0.273 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations25
Published2007
Admission routes1
Has abstractyes

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