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Record W2073076376 · doi:10.1115/1.2983034

Journal of Engineering for Gas Turbines and Power Welcomes ASME Nuclear Engineering Division Participation!

2008· article· en· W2073076376 on OpenAlexaboutno aff
Dilip R. Ballal

Bibliographic record

VenueJournal of Engineering for Gas Turbines and Power · 2008
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Generation Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsEngineeringMilestonePublishingScheduleLibrary scienceDigital libraryNuclear powerMechanical engineeringOperations researchManagementPolitical scienceCartographyLawComputer scienceGeographyArt

Abstract

fetched live from OpenAlex

A happy new year to all of you! I am pleased to announce that in April 2008, ASME’s Nuclear Engineering Division (NED) selected this journal for the publication of nuclear power engineering papers. This is an important strategic step forward for both NED and JEGTP. As an editor, I welcome all authors who contribute to ASME NED conferences and promise them rapid and fair paper reviews. The publication of 50 or more nuclear engineering papers annually will significantly contribute to my own vision and aspiration for JEGTP, which is to make it a top journal in the broad area of power and energy.Last year, two major changes were put into place that affected the world of ASME publishing. First, ASME introduced e-First, a novel online paper publication process, and launched the ASME Digital Library (http:∕∕www.asmedl.org). This Digital Library is ASME’s primary repository of current and archival literature featuring ASME Transaction Journals from 1990 to the present, among other publications. As the ASME Digital Library continues to expand, it ultimately will include the complete archive of ASME’s Transactions Journals dating back to 1880. This represents a significant milestone in the world of scientific publishing!Second, JEGTP made a giant leap forward with a bimonthly publication schedule with a total of 1616 printed pages (=183 papers in CY2008), a new record! Moreover, the e-First publication process is regularly producing completed JEGTP issues two months ahead of the printed issues.Last year, JEGTP secured four new outstanding individuals as associate editors. They are: Jim Wallace (University of Toronto, Canada) and Margaret Wooldridge (University of Michigan, Ann Arbor serving a second term), covering internal combustion engines, and Jay Kunze (Idaho State University, Pocatello, ID) and Igor Pioro (University of Ontario Institute of Technology, Ontario, Canada), covering nuclear engineering. My congratulations to these individuals for their appointments and work on behalf of the journal. Also, I thank the outgoing associate editor, Jim Cowart (U.S. Naval Academy, Annapolis, MD) and Ashok Rao (University of California, Irvine, CA), for their many years of valuable service to the journal.Summarizing, because of the events that unfolded and the improvements made during 2008, the journal has grown to cover an even broader range of topics in gas turbines, nuclear engineering, internal combustion engines, fossil power generation, and advanced energy systems. JEGTP remains the number one ranked journal in the world in the area of gas turbine engineering and power and your continuing research contributions will keep it there!

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.220
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.010
GPT teacher head0.221
Teacher spread0.211 · 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 teacher head, not a consensus.

Study designSimulation or modeling
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

Citations0
Published2008
Admission routes1
Has abstractyes

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