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Record W2034814133 · doi:10.1016/j.jcrs.2012.02.001

Middle prechop: Fracturing the middle portion of the nucleus

2012· article· en· W2034814133 on OpenAlexaff
André Berger, Inara Nogueira Contin, Graziela Nicoletti, Paula Fernanda Baltar Pazos, Henrique Santiago Baltar Pazos, José Álvaro Pereira Gomes

Bibliographic record

VenueJournal of Cataract & Refractive Surgery · 2012
Typearticle
Languageen
FieldMedicine
TopicIntraocular Surgery and Lenses
Canadian institutionsBerger (Canada)
Fundersnot available
KeywordsCapsulorhexisPhacoemulsificationNucleusLens (geology)Curvilinear coordinatesOphthalmologyMaterials scienceOpticsMedicinePhysics

Abstract

fetched live from OpenAlex

To decrease the use of ultrasound power, prechop techniques such as preslice and Akahoshi prechop have been developed. We describe a technique that fractures the nucleus through the center of the lens before chopping. After a continuous curvilinear capsulorhexis is created, an ophthalmic viscosurgical device is injected into the anterior chamber and 2 modified cystotomes are inserted into the lens with a back-and-forth movement; a small amount of pressure from opposite sides is applied to fracture the nucleus. Hydrodissection is then performed, followed by phacoemulsification.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
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 head0.057
GPT teacher head0.267
Teacher spread0.211 · 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

Citations21
Published2012
Admission routes1
Has abstractyes

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