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Record W1987966422 · doi:10.1002/cvde.200906800

Comparison of Coupling Methods for Linking Between Reactor and Feature Scales

2010· article· en· W1987966422 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

VenueChemical Vapor Deposition · 2010
Typearticle
Languageen
FieldEngineering
TopicNuclear reactor physics and engineering
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCoupling (piping)Offset (computer science)Feature (linguistics)Scale (ratio)Deposition (geology)Direct couplingMonte Carlo methodMaterials sciencePlane (geometry)Statistical physicsBiological systemComputer sciencePhysicsEngineeringGeometryMathematicsComposite materialGeologyElectrical engineering

Abstract

fetched live from OpenAlex

Abstract Currently there are two main methods used for coupling macroscopic reactor‐scale and microscopic feature‐scale models in multi‐scale CVD simulation. These methods differ in the plane selected for coupling. With one method, coupling occurs at a source plane offset from the deposition surface, while in the other method coupling occurs on the deposition surface itself. The two methods also have different feature‐scale modeling techniques associated with them. A Monte Carlo (MC) technique is used for the source plane‐coupling method, while a ballistic transport technique is used for the deposition surface‐coupling method. In this study a multi‐scale code with a ballistic feature‐scale model is modified so that both coupling methods can be applied, allowing for direct comparison of the two coupling methods.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score0.414

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.019
GPT teacher head0.312
Teacher spread0.294 · 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