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Record W2752038511 · doi:10.1117/12.2283916

Optical wavefronts and the eye: implications to vision and diagnosis

2017· article· en· W2752038511 on OpenAlexaff
Melanie C. W. Campbell

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicIntraocular Surgery and Lenses
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMonochromatic colorOpticsWavefrontTilt (camera)Human eyePupilLens (geology)Chromatic aberrationAdaptive opticsCorneaExit pupilImage qualityOptical axisPhysicsRetinaComputer visionComputer scienceChromatic scaleOptometryImage (mathematics)MedicineMathematics

Abstract

fetched live from OpenAlex

The cornea and the crystalline lens form the image on the retina of the human eye. Tilt and decentration of the components and the angle of the fovea (area of most acute vision) from the optical axis also contribute. The resulting image quality on the retina is influenced by diffraction through the circular pupil of the eye, by the scattering of light, by chromatic aberration and by the monochromatic aberrations of the system. In this presentation, we will concentrate on the monochromatic wavefront aberrations of the eye, their measurement, and their influence on vision and ophthalmic diagnosis.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.472
Threshold uncertainty score0.219

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.017
GPT teacher head0.331
Teacher spread0.314 · 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.

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 routes1
Has abstractyes

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