MétaCan
Menu
Back to cohort
Record W4241361057 · doi:10.5383/ijtee.06.02.005

Demonstrating of a Standing Wave - Thermoacoustic Refrigerator

2013· article· en· W4241361057 on OpenAlexvenueno aff
Ali Alahmer, Mohammed Omar, Mohammad Al Zubi

Bibliographic record

VenueInternational Journal of Thermal and Environmental Engineering · 2013
Typearticle
Languageen
FieldEngineering
TopicAdvanced Thermodynamic Systems and Engines
Canadian institutionsnot available
Fundersnot available
KeywordsRefrigerator carStack (abstract data type)Standing wavetar (computing)ThermoacousticsAcousticsComputational fluid dynamicsThermoacoustic heat engineMechanical engineeringMaterials scienceComputer scienceEngineeringPhysicsAerospace engineering

Abstract

fetched live from OpenAlex

This manuscript begins with a full description of Thermoacoustic Refrigerator (TAR) technology followed an analysis of the elements necessary for successfully designing the various components of a TAR. The authors developed and tested a standing wave thermoacoustic refrigerator (TAR) to study the effects of stack plate thickness, load and stack temperature variation on TAR performance. They then used a CFD simulation to simulate the performance of the TAR, particularly the temperature and velocity within.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.004
GPT teacher head0.160
Teacher spread0.157 · 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 designBench or experimental
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

Citations5
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Thermal and Environmental EngineeringSame topicAdvanced Thermodynamic Systems and EnginesFrench-language works237,207