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Record W2473241257 · doi:10.3390/wevj3030551

Hybrid Electric Vehicles for Sustainable Transportation: A Canadian Perspective

2009· article· en· W2473241257 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWorld Electric Vehicle Journal · 2009
Typearticle
Languageen
FieldEngineering
TopicElectric and Hybrid Vehicle Technologies
Canadian institutionsUniversity of Windsor
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsTransport CanadaUniversity of Windsor
KeywordsGreen vehicleFossil fuelBusinessAlternative fuel vehicleEnvironmentally friendlySustainable transportEnvironmental economicsGovernment (linguistics)Sustainable developmentPerspective (graphical)Miles per gallon gasoline equivalentGasolineSustainabilityTransport engineeringNatural resource economicsFuel efficiencyEngineeringEconomicsAlternative fuelsAutomotive engineeringWaste managementDiesel fuelComputer scienceEcology

Abstract

fetched live from OpenAlex

The demand for gasoline in Canada, especially by light-duty vehicles, continues to increase with economic growth and development. Fossil fuel driven vehicles are not only creating financial strain due to fluctuating gas prices but are also polluting the environment and posing health risks to the community. In an effort to promote public awareness, this paper reviews hybrid vehicle technology as a logical step towards sustainable, efficient and environment friendly transportation and discusses the measures taken by the Canadian government to encourage hybrid vehicle sales and to minimize fossil fuel dependency of the transportation sector.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.377
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.006
GPT teacher head0.209
Teacher spread0.204 · 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