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The Pathogenesis of Contact Lens‐Related Keratitis

2006· article· en· W1995709047 on OpenAlexaff
Suzanne M. J. Fleiszig

Bibliographic record

VenueOptometry and Vision Science · 2006
Typearticle
Languageen
FieldMedicine
TopicOcular Surface and Contact Lens
Canadian institutionsCegep de Sept Iles
FundersNational Eye Institute
KeywordsContact lensLens (geology)OptometryKeratitisCorneaSightMedicineEye careMultidisciplinary approachIntensive care medicineOpticsOphthalmologyPolitical sciencePhysics

Abstract

fetched live from OpenAlex

Bacterial infection of the cornea is a rare, but sight-threatening, complication of contact lens wear that was first reported shortly after soft lenses were introduced onto the market in the 1970s. During the past 3 decades, various attempts to solve the problem with new lens types and lens care products have failed to make a significant impact on its incidence. Eliminating contact lens-related infections will likely require a better understanding of the ocular defense system, microbial virulence strategies, how they affect one another, and the effects of contact lens wear on both. Each of these topics is complex. Although research in this area is therefore challenging and necessitates a multidisciplinary approach, what we are learning along the way has significance beyond contact lens-related infection and could ultimately lead to the development of new strategies to prevent this and a range of other sight- and life-threatening diseases.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.347
Teacher spread0.339 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations64
Published2006
Admission routes1
Has abstractyes

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