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Record W2626939652 · doi:10.15761/ecv.1000106

Palatability and preference of Eyestonia™ in age related macular degeneration

2017· article· en· W2626939652 on OpenAlexaffabout
Mohit Sodhi, Mahyar Etminan, David Maberley

Bibliographic record

VenueEye Care and Vision · 2017
Typearticle
Languageen
FieldPsychology
TopicColor perception and design
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMacular degenerationPalatabilityPreferenceDegeneration (medical)OptometryMedicineOphthalmologyPsychologyPathologyMathematicsStatistics

Abstract

fetched live from OpenAlex

Eyestonia™ is a multivitamin that is indicated for the delay of age related macular degeneration (AMD) progression and other retinopathies.Its medicinal ingredients include lutein, zinc, copper, vitamins A, C, and D 3 , as well as bilberry extract.We conducted a study to determine Eyestonia's palatability, side effect profile, and taste preferences in 50 patients with retinal eye diseases in Vancouver, Canada.The survey included 8 multiple choice questions which determined patients' preference for Eyestonia™ and its palatability.We used descriptive statistics to compute percentages for responses of each question.We found that overall, Eyestonia™ was superior to patients' current vitamin of choice and it has favorable palatability and was well liked by our patient cohort.Eyestonia™ is thus a competitive vitamin that is marketed in Canada to reduce progression of retinal 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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
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)0.0020.000

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 head0.050
GPT teacher head0.393
Teacher spread0.343 · 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 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

Citations0
Published2017
Admission routes2
Has abstractyes

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