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Record W2920614247 · doi:10.1115/1.4043845

Special Section: 11th International Conference on Thermal Engineering, 2018

2019· article· en· W2920614247 on OpenAlexaff
M. Ziad Saghir, Ibrahim Hassan

Bibliographic record

VenueJournal of Thermal Science and Engineering Applications · 2019
Typearticle
Languageen
FieldEngineering
TopicRadiative Heat Transfer Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMiddle EastProductivitySection (typography)PetroleumSpecial sectionPolitical scienceLibrary scienceRegional scienceEconomic growthGeologyEngineeringGeographyComputer scienceEngineering physicsLaw

Abstract

fetched live from OpenAlex

The ICTEA conference series was inspired by the need to help provide an opportunity for professional development of scientists and engineers in the Middle East, including the Gulf region and North Africa. The need for such development persists, despite the strong commitment of regional governments for improving undergraduate education and for building research capabilities in institutions of higher learning.The purpose of starting a biannual international conference to be rotated around the Middle East, Persian Gulf, and North African region countries was and still is to meet this need and to provide a well-structured platform to boost research activity and productivity in the region as well as provide a point of contact and networking opportunities. Such a conference can serve as a focal point for the gathering of scientists and engineers who hail from this region and who are working abroad in Europe, North America, and other industrialized parts of the world.Thermal engineering was selected as an umbrella title for the conference series because of its encompassing meaning and because this research area is of great importance to the region. Topics related to the environment, energy, petroleum, and construction are obvious examples of thermal engineering applications which are crucial to the economic development of the region. The ICTEA conference series started in 2004 in different countries in the Middle East and North Africa region. The growing success of the conference series and the rapid recognition it gained and continues to gain are quite gratifying to its organizers.This Special Section covers a wide range of thermal problems in engineering such as forced convection and combustion in porous media as well as flow in microchannels. In addition, some work on wind energy, heat treatment, and a new approach for inverse problems in heat transfer are included.We would like to express our appreciation to the authors and the anonymous reviewers and to the editor of the Journal of Thermal Science and Engineering Applications along with the ASME journal staff who made the publication of this special issue possible.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.225
Threshold uncertainty score0.753

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.2250.137

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 head0.013
GPT teacher head0.226
Teacher spread0.213 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2019
Admission routes1
Has abstractyes

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