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Record W2160043248 · doi:10.1109/revet.2012.6195304

Fully burdened cost of energy in military operations

2012· article· en· W2160043248 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicLife Cycle Costing Analysis
Canadian institutionsDefence Research and Development Canada
Fundersnot available
KeywordsRenewable energyInvestment (military)Risk analysis (engineering)Computer scienceCost estimateEnergy (signal processing)CommodityEnvironmental economicsOperations researchSystems engineeringEngineeringBusinessEconomicsFinance

Abstract

fetched live from OpenAlex

This paper presents an analytical framework for evaluating the Fully Burdened Cost of Energy (FBCE) in military operations. The FBCE of a system represents the energy commodity price plus the logistics costs associated with the delivery of energy to the system, including transportation, infrastructure, and force protection costs. The purpose of the FBCE concept is to allow a proper evaluation of the energy costs when assessing different alternatives in military operations and acquisitions. The FBCE shall also be used to inform decisions on the size and focus of investment in science and technology programs related to the development of new platforms, renewable energy solutions, etc. This paper used cost estimation techniques to calculate the FBCE and focused on fuel-based military systems and operations. Two case studies using Canadian Forces domestic and deployed operational bases were presented and discussed to demonstrate the methodology.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.019
GPT teacher head0.231
Teacher spread0.212 · 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

Quick stats

Citations2
Published2012
Admission routes2
Has abstractyes

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