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Record W2314115803 · doi:10.1149/1.2729078

Stack Testing Summary - Versa Power Systems

2007· article· en· W2314115803 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueECS Transactions · 2007
Typearticle
Languageen
FieldMaterials Science
TopicEngineering and Material Science Research
Canadian institutionsnot available
FundersImperial College LondonU.S. Department of EnergyU.S. Department of Defense
KeywordsStack (abstract data type)EngineeringPower (physics)Computer scienceOperating system

Abstract

fetched live from OpenAlex

Versa Power Systems' stack development is based on a consistent, repeatable testing methodology focused on increasing the durability and endurance of the stack while simultaneously decreasing the stack manufacturing cost. Standard tests are repeated on every stack to allow for comparison of various stack configurations and material systems. These standard tests are also used as a qualification step to maximize the usefulness of long-term stack in-test stand and stack in system testing. Statistical analysis of the test results provides an opportunity for process improvement and optimization. Testing has been performed at Versa Power Systems (Calgary, Canada), Cummins Power Generation (Minneapolis, MN), Gas Technology Institute (Chicago, IL), U.S. National Energy Technology Laboratory (Morgantown, WV), U.S. Naval Undersea Warfare Center (Newport, RI), the U.S. Air Force Lab (Panama City, FL) and Imperial College (London, England) with a minimum variation in results. These results are presented and discussed.

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)0.001
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 score0.349
Threshold uncertainty score0.451

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.028
GPT teacher head0.278
Teacher spread0.249 · 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