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Record W107455637

Clinical performance of a peroxide-based care system and a multi-purpose care system formulated for use with silicone hydrogels

2008· article· en· W107455637 on OpenAlexaboutno aff
Nancy Keir, S. Schneider, Kathy Dumbleton, Craig A. Woods, Yun Feng

Bibliographic record

VenueDeakin Research Online (Deakin University) · 2008
Typearticle
Languageen
FieldMedicine
TopicOcular Surface and Contact Lens
Canadian institutionsnot available
Fundersnot available
KeywordsSilicone hydrogelEye careContact lensSelf-healing hydrogelsLens (geology)SiliconeOptometryPreferenceMedicinePsychologyOphthalmologyOpticsMaterials scienceEngineeringChemical engineeringMathematicsComposite material
DOInot available

Abstract

fetched live from OpenAlex

of lens type. As clinical variables and subjective ratings do not always manifest what patients actually experience, CWT may prove to be a better assessment of lens performance and long term predictor of success. Slightly better graded wettability and fewer visible deposits seen on OA with RepleniSH were not associated with a longer CWT or better ratings, suggesting that these investigator assessed measures do not predict comfort. With the exception of one subject exhibiting corneal staining which was consistent with a solution sensitivity (with RepleniSH), both Clear Care and RepleniSH were compatible with the SH lens materials used in this study. Results from the preference and exit questionnaires suggest that a peroxidebased care system is a viable first choice lens care option for SH lenses. Clinical performance of a peroxide-based care system and a multipurpose care system formulated for use with silicone hydrogels N Keir, S Schneider, K Dumbleton, CA Woods, Y Feng Centre for Contact Lens Research, School of Optometry, University of Waterloo, Ontario, Canada

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.339
Teacher spread0.250 · 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.

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

Citations1
Published2008
Admission routes1
Has abstractyes

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