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Record W2036810007 · doi:10.1016/s1464-2859(10)70070-5

Vancouver testing and validation center gets fuel cell technology to market faster

2010· article· en· W2036810007 on OpenAlexaffabout
Toby Astill

Bibliographic record

VenueFuel Cells Bulletin · 2010
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsBC Innovation Council
Fundersnot available
KeywordsFuel cellsEngineeringCenter (category theory)Research centerSystems engineeringHydrogen fuelCharacterization (materials science)Test (biology)Manufacturing engineeringNanotechnologyMaterials science

Abstract

fetched live from OpenAlex

The Advanced Testing and Validation Centre at the NRC Institute for Fuel Cell Innovation (NRC-IFCI) in Vancouver, BC is a new facility that provides a specialized environment for objective, reliable and accurate standardized performance characterization and long-term testing applications of hydrogen, fuel cell, and other clean energy technologies. Local companies and those from further afield are utilizing its capabilities to help develop their technologies, and test them in real-world conditions.

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)0.008
metaresearch head score (Gemma)0.012
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: Other
Teacher disagreement score0.802
Threshold uncertainty score0.500

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0040.002
Scholarly communication0.0080.003
Open science0.0030.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.1500.062

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 head0.005
GPT teacher head0.182
Teacher spread0.178 · 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
Published2010
Admission routes2
Has abstractyes

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