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Record W2029935872 · doi:10.1080/09500340701469963

Effect of proximity on the open-loop accommodative response of the eye

2008· article· en· W2029935872 on OpenAlexaff
Preethi Thiagarajan, Vasudevan Lakshminarayanan, William R. Bobier

Bibliographic record

VenueJournal of Modern Optics · 2008
Typearticle
Languageen
FieldNeuroscience
TopicVisual perception and processing mechanisms
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAccommodationVergence (optics)Stimulus (psychology)OpticsTonic (physiology)MathematicsPhysicsNear visionPsychologyVisual acuity

Abstract

fetched live from OpenAlex

We evaluated the relative contribution of proximal accommodation to the open loop accommodative response under open and closed loop conditions of vergence using 0.2 cycles per degree (c deg− 1) difference of Gaussian (DoG) targets at two test distances on five subjects. Accommodative responses were measured using a power refractor. Results show significant difference in the open loop accommodative response at the two distances under both open and closed loop conditions of vergence. Results obtained were applied to Hung and co-workers' [Investig. Ophthalmol. Vision Sci. 1991, 32, 2985–2991] proximal model of equations to find the relative contribution of proximal accommodation for the observed differences in the accommodative response. Results obtained show that the 0.2 c deg− 1 DoG stimulus at 0.4 m does not truly open the accommodation loop and the response obtained does have a significant level of proximal accommodation contribution. However, it can be used as a target to measure the relative changes in tonic accommodation and convergent accommodation responses and cannot be used for absolute measures when used at closer distances.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
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 science0.0000.001
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 head0.103
GPT teacher head0.366
Teacher spread0.264 · 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

Citations4
Published2008
Admission routes1
Has abstractyes

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