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Record W4399883444 · doi:10.1016/j.softx.2024.101794

SACETraj: An AutoCAD Catmull-Rom Spline Trajectory Interpolator

2024· article· eo· W4399883444 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

VenueSoftwareX · 2024
Typearticle
Languageeo
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsÉcole de Technologie Supérieure
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsComputer scienceSpline (mechanical)Computer graphics (images)TrajectoryEngineering

Abstract

fetched live from OpenAlex

The presented software, programmed in C#, is a plugin for the AutoCAD computer-assisted design program that adds functionality to output toolpaths in the form of spline control points. Motion controllers are often used in laboratory settings to drive the motion of a research tool in three-dimensional space. The trajectory files accepted by these controllers are often not used in industry, for example spline interpolation, hence the tools needed to generate such files for toolpath motion are not readily available. The developed AutoCAD Catmull-Rom Spline Trajectory Generator aims to address this limitation and will contribute to foster intelligent manufacturing strategies at research laboratories. The generated toolpaths can either be a direct spline interpolation of drawing geometries or a derivation from it. Point density is dynamically calculated along a given path depending on user-specified tolerance. This software, adaptable to other CAD design tools, will facilitate workflow in research equipment requiring spline input of toolpaths and increase versatility of lab tools.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.658
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.012
GPT teacher head0.261
Teacher spread0.248 · 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