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Record W1987560238 · doi:10.1016/j.jcrs.2010.11.024

Long-term pathological follow-up of 2-loop iridocapsular intraocular lens

2011· article· en· W1987560238 on OpenAlexaff
Michael Burrow, Liliana Werner, Surekha Maddula, Peter J. Ness, Don Davis, Nick Mamalis

Bibliographic record

VenueJournal of Cataract & Refractive Surgery · 2011
Typearticle
Languageen
FieldMedicine
TopicIntraocular Surgery and Lenses
Canadian institutionsSt Mary's Hospital Centre
Fundersnot available
KeywordsIRIS (biosensor)Intraocular lensPupilOphthalmologyCorneaFixation (population genetics)MedicineCorneal endotheliumAbrasion (mechanical)Lens (geology)OptometryAnatomyBiologyMaterials scienceComputer science

Abstract

fetched live from OpenAlex

We analyzed an enucleated postmortem eye from an 86-year-old donor who had a 2-loop iridocapsular intraocular lens (IOL) that had been implanted at least 30 years earlier. High-frequency ultrasound showed a relatively well-centered iris-supported optic in front of the pupil. Gross and light microscopic analyses of the eye and the IOL showed loop fixation outside the capsular bag remnants, a thickened cornea, mild attenuation of the corneal endothelium, multiple areas of iris trauma secondary to haptic abrasion, fragments of iris tissue attached to the haptics, as well as pigment dispersion within the eye with pigmented epithelial cells attached to the IOL haptics. Histopathological examination of the posterior segment was unremarkable.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.096
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0010.000

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 head0.062
GPT teacher head0.284
Teacher spread0.222 · 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

Citations2
Published2011
Admission routes1
Has abstractyes

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