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Record W4408935908 · doi:10.1002/col.22983

Aging and Color Vision: A Model Using the Farnsworth‐MUNSELL 100‐Hue Test

2025· article· en· W4408935908 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueColor Research & Application · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicColor Science and Applications
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsHueArtificial intelligenceTest (biology)Color visionMathematicsComputer scienceComputer visionBiologyBotany

Abstract

fetched live from OpenAlex

ABSTRACT Introduction This study examined the theoretical changes in the FM100 Hue scores induced by age‐related changes in the ocular media transmittance. These changes were analyzed with and without a von Kries‐type chromatic adaptation to determine the role of this adaptation process on age‐related changes in hue discrimination. Methods We calculated the CIECAM02 chromaticity coordinates of the FM100 Hue caps for 32‐ and 74‐year‐old ideal observers. The chromaticity coordinates were calculated using the CIE D65 illuminant, the individual caps' spectral reflectances, and the CIE 1931 2° color matching functions. We modified the spectral distribution of the D65 light source using the model of Pokorny et al. and the van de Kraats‐van Norren model of media transmittance to account for the age‐related changes by 74 years. We accounted for the decrease in retinal illuminance due to pupil miosis and ocular media spectral transmittance in the old observers. The predicted ordering of the FM100 Hue caps was based on the minimum color differences (Δ E ) between nearby caps, calculated using the CIECAM02 model. Results Reported outcomes were obtained for specific model parameters: adapting luminance (31.9 cd/m 2 ); illuminance (500 lx); stimulus diameter (20°); surface reflectance 20%; CIE illuminant D65; CIE 1931 2° color‐matching functions/XYZ‐values; pupil size (4.35 mm for young observer and 3.46 mm for old observer models). The total error score (TES) increased from 8 for the 32‐year‐old observer to 12 for both 74‐year‐old observer models when complete and partial adaptation factors were applied. The increase in TES for the 74‐year‐old observer models was in the blue–blue‐purple band, which was along the red‐green axis. Without any adaptation for the old observer models, the error scores increased further. The increase was in the red–green score for the van de Kraats–van Norren model, whereas the increase for the Pokorny et al. model was in both the red–green and blue–yellow error scores. Overall, the mean color differences for the old observer models decreased uniformly under complete and partial adaptation. Conclusion The predicted effect of age‐related changes in media transmittances on the FM100 Hue test showed an increase in the TES ; however, the increase was primarily due to an increase in the red–green error score. This disagrees with the psychophysical data, which show a greater increase in the blue–yellow error score, thus suggesting the presence of age‐related neural changes. The two models for age‐related changes in media transmittance produced similar results under complete chromatic adaptation.

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.

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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.910
Threshold uncertainty score0.928

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.054
GPT teacher head0.435
Teacher spread0.381 · 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