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Record W3163717249

Hyaluronic Acid Release from an Intraocular Lens to Diminish Dry Eye Symptoms After Cataract Surgery

2020· article· en· W3163717249 on OpenAlexaff
Mignon Le Roux, Chloé S. Smith

Bibliographic record

VenueUndergraduate Research Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicOcular Surface and Contact Lens
Canadian institutionsQueen's University
Fundersnot available
KeywordsCataract surgeryMedicineIntraocular lensHyaluronic acidOphthalmologyIntraocular lensesLens (geology)SurgeryPopulationPhacoemulsificationVisual acuityBiology
DOInot available

Abstract

fetched live from OpenAlex

Intraocular lens replacement surgery is becoming increasingly popular as the population ages. A common postoperative complication is dry eyes, which causes significant discomfort to the patient and may impair the visual recovery after surgery. Intraocular lenses have been used as a drug delivery system in the past and their modification to release hyaluronic acid (HA) may be beneficial to patients recovering from surgery. This may augment the eyes natural ability to create moisture. We propose to study the release of HA and Rapamycin (RAMPA), a common immunosuppressant used in cataract surgery8, via an intraocular lens delivery system. The release quantity, rate, and longevity of HA and RAMPA will be assessed using spectrometry, HA Enzyme-Linked Immunosorbent Assay and LC-MS/MS. The following study would be the first step in creating a HA-releasing polymer sprayed intraocular lens with the aim of alleviating post cataract surgery dry eyes (xeropthalmia).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.051
GPT teacher head0.343
Teacher spread0.292 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2020
Admission routes1
Has abstractyes

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