MétaCan
Menu
Back to cohort
Record W2091896421 · doi:10.1016/j.jcrs.2003.09.045

Understanding, retaining, and removing dispersive and pseudodispersive ophthalmic viscosurgical devices

2003· article· en· W2091896421 on OpenAlex
Steve A. Arshinoff, Edward C. Wong

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Cataract & Refractive Surgery · 2003
Typearticle
Languageen
FieldMedicine
TopicIntraocular Surgery and Lenses
Canadian institutionsHumber River Regional Hospital
Fundersnot available
KeywordsHagen–Poiseuille equationMaterials scienceOphthalmologyOpticsDispersion (optics)MedicineMechanicsFlow (mathematics)Physics

Abstract

fetched live from OpenAlex

PURPOSE: To analyze and explain the rheologic behavior of pseudodispersive viscoadaptive ophthalmic viscosurgical devices (OVDs) and compare it with that of dispersive OVDs. SETTING: York Finch Eye Associates and Humber River Regional Hospital, Toronto, Ontario, Canada. METHODS: Poiseuille's law was used as a basis of understanding fluid aspiration. Each OVD class was analyzed to determine how well it fit the law and why. RESULTS: Higher viscosity cohesive OVDs are removed in a manner predicted by Poiseuille's law. Lower viscosity dispersive and viscoadaptive OVDs are not. CONCLUSIONS: Lower viscosity dispersive OVDs possess inadequate cohesion to maintain continuous contact with the aspiration port during irrigation/aspiration, whereas viscoadaptive OVDs are too rigid to permit scrolling around obstacles in the eye (the intraocular lens), also resulting in interrupted contact with the aspiration port. Dispersion and pseudodispersion represent opposite ends of a spectrum of increasing cohesion and rigidity correlating with increasing zero-shear viscosity and are not similar.

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)0.002
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 score0.260
Threshold uncertainty score0.834

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.089
GPT teacher head0.289
Teacher spread0.200 · 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