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Record W2416454081 · doi:10.1080/17686733.2018.1436503

Panoramic view of the heat flux inside an insulated vehicle by infrared thermography

2018· article· en· W2416454081 on OpenAlex
Lei Lei, A. Bortolin, Gianluca Cadelano, Giovanni Ferrarini, Stefano Rossi, Xavier Maldague, P. Bison

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

VenueQuantitative InfraRed Thermography Journal · 2018
Typearticle
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsUniversité Laval
FundersCanada Research ChairsCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaMinistère des relations internationales et de la Francophonie
KeywordsThermographyInfraredHeat fluxFlux (metallurgy)Materials scienceWork (physics)Tilt (camera)Container (type theory)MechanicsEnvironmental scienceMechanical engineeringOpticsEngineeringHeat transferComposite materialPhysics

Abstract

fetched live from OpenAlex

An IR camera is mounted on a pan-tilt head and automatically driven to map the temperature of the inner walls of the insulated container on a refrigerated vehicle. The vehicle is introduced in a test chamber where special conditions are applied, in such a way to maintain an inner-outer temperature difference of around 25 C. The objective of this work is that of complementing the qualitative results obtained by infrared thermography, with an evaluation of the heat flux flowing through the wall.

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 score0.431
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.246
Teacher spread0.232 · 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