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Record W4210622150 · doi:10.15273/dmj.vol48no1.11257

A lens into the past: The history of cataract surgery

2022· article· en· W4210622150 on OpenAlex
Sunil Ruparelia

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueDalhousie Medical Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicIntraocular Surgery and Lenses
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineCataract surgeryPhacoemulsificationIntraocular lensMilestoneCataract extractionOptometryOphthalmologySurgeryVisual acuityHistory

Abstract

fetched live from OpenAlex

Cataract surgery may be one of medicine’s greatest achievements, providing treatment for an otherwise blinding condition. These surgeries are among the most common operative procedures performed worldwide and are also among the most successful. The advancements that have been made in cataract management exemplify the progress that has been made in the field of surgery as a whole. Moreover, the story of the evolution of cataract surgery is fascinating. From humble origins with cataract couching to the use of ultrasonic energy in phacoemulsification, each milestone in the advancement of cataract surgery has had innovative physicians at its forefront, striving for better patient visual outcomes. This article seeks to review these major milestones, including couching, extracapsular cataract extraction, intracapsular cataract extraction, and intraocular lens implantation. Procedural steps of modern-day phacoemulsification and recent advancements that may be incorporated into future practice are also reviewed.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.024
GPT teacher head0.247
Teacher spread0.223 · 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