MétaCan
Menu
Back to cohort
Record W2146718367 · doi:10.5539/mas.v9n5p197

Theoretical Estimation of Grassmann’s Transformation Resolution in Avionics Color Coding Systems

2015· article· en· W2146718367 on OpenAlexvenueno aff
Yuri Armenakovich Gatchin, И О Жаринов, A.G. Кorobeynikov, О О Жаринов

Bibliographic record

VenueModern Applied Science · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicColor Science and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsChromaticityRGB color modelTransformation (genetics)Coding (social sciences)Computer scienceColor-codingArtificial intelligenceComputer visionMathematicsCoordinate systemRepresentation (politics)Algorithm

Abstract

fetched live from OpenAlex

The problem of an assessment of the resolution of mathematical Grassmann’s transformation, binding chromaticity coordinates in various systems of chromaticity coding, RGB and XY, is considered. Examples of graphic representations of colors and shades in various coding systems are given. The inference of the formula for an assessment of the resolution of Grassmann’s transformation, specified as the minimal non-zero absolute value of (x,y)-chromaticity coordinates change, caused by any given RGB code augmentation value, is proposed. Numerical values of the resolution are calculated, and combinations of the initial and final RGB codes, which refer to the reached minimums of chromaticity coordinates changes, both ?x and ?y, that caused by unit incrementation of the RGB code, presuming eight-bit representation for each color component, R, G, B, are defined.

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)0.003
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.003
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.002
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 head0.022
GPT teacher head0.278
Teacher spread0.255 · 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 designTheoretical or conceptual
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

Citations13
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueModern Applied ScienceSame topicColor Science and ApplicationsFrench-language works237,207