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Record W2161378861 · doi:10.2514/6.2011-3484

Numerical Investigation of G-jitters Effect in Thermovibrational Experiments on board International Space Station Using Different Equation of States

2011· article· en· W2161378861 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

Venue42nd AIAA Thermophysics Conference · 2011
Typearticle
Languageen
FieldEngineering
TopicField-Flow Fractionation Techniques
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsInternational Space StationOn boardSpace (punctuation)Computer sciencePhysicsAerospace engineeringEngineering

Abstract

fetched live from OpenAlex

Microgravity environments provide perspective platforms for studying the phenomenon of thermal diffusion. Nevertheless, the residual micro accelerations (g-jitters) in the space laboratories induce convection and may affect the accuracy of experiments. Consequently, an appropriate interpretation of experimental results from the space relies on a thorough understanding of the influence of g-jitters on the thermal diffusion process. In this paper, we have modeled the thermal diffusion process under different microgravity environments using measured g-jitter data onboard the International Space Station (ISS). Various microgravity accelerations based on the location of the experimental setups and the time where the experiments performed on the ISS have been considered and applied in the numerical calculations. Comparisons have been made with the ideal zero gravity scenarios. Recommendations are made according to the findings from this study for the improvement of the accuracy of diffusion experiments in Space.

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 score0.160
Threshold uncertainty score0.620

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 head0.049
GPT teacher head0.257
Teacher spread0.208 · 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