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Record W2104499695 · doi:10.1504/ijqet.2012.049684

Correlation studies between visual perception and waviness measurements for coated surfaces

2012· article· en· W2104499695 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Journal of Quality Engineering and Technology · 2012
Typearticle
Languageen
FieldEngineering
TopicIndustrial Vision Systems and Defect Detection
Canadian institutionsUniversity of Windsor
FundersUniversity of Windsor
KeywordsWavinessOpticsMathematicsMaterials scienceStatisticsComposite materialPhysics

Abstract

fetched live from OpenAlex

This research study investigates the factors influencing the appearance of an exterior coated automobile finish as measured by the BYK wave-scan DOI instrument. Sets of 10 to 16 painted panels of three different colours; silver, white and blue were visually evaluated by 60 or 30 panellists of various demographic characteristics, who ranked the panels individually from best to worst. The median rank for each panel was correlated to a linear combination of the measured wave-scan values for that panel. The medium ranks of silver and white painted panels exhibited strong correlations (R2 = 82% and 90%, respectively) with wave-scan parameters. Even though blue was the most preferred colour among the study group, the resulting model exhibited a weak correlation (53%) between rank and the wave-scan parameters. Further studies need to be conducted to establish a scientific method to obtain an acceptable value for BYK parameters.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score0.310

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.095
GPT teacher head0.365
Teacher spread0.270 · 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