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Record W1603487090 · doi:10.1002/cav.1446

Particle‐based drop animation on meshes in real time

2012· article· en· W1603487090 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

VenueComputer Animation and Virtual Worlds · 2012
Typearticle
Languageen
FieldComputer Science
TopicComputer Graphics and Visualization Techniques
Canadian institutionsUniversité de SherbrookeComputer Research Institute of Montréal
FundersNatural Sciences and Engineering Research Council of CanadaUniversité Bretagne SudUniversité de Sherbrooke
KeywordsPolygon meshComputer scienceDrop (telecommunication)AnimationRendering (computer graphics)Computer graphics (images)Particle systemMechanicsPhysics

Abstract

fetched live from OpenAlex

ABSTRACT This paper presents a method for simulating the motion of water drops on a surface in real time. We describe the dynamics of a drop moving on the surface, and then we present our simulation model. We use a geometry‐based representation of a drop. Each drop is modeled by a deformable 3D mesh. This geometrical representation allows drops to be on the surface or in the air. We also propose a simple method to handle drop merging and separation. For the rendering, we simulate reflection and refraction. The drop trace is also taken into account. Our method is fast and robust and yields realistic results when applied to treat condensation on a surface or human sweating in real time. Copyright © 2012 John Wiley & Sons, Ltd.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.938
Threshold uncertainty score0.682

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.026
GPT teacher head0.297
Teacher spread0.271 · 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