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Record W2015366719 · doi:10.1080/15567030600817902

An Alternative Fuel for Motor Vehicles

2008· article· en· W2015366719 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.

Bibliographic record

VenueEnergy Sources Part A Recovery Utilization and Environmental Effects · 2008
Typearticle
Languageen
FieldEngineering
TopicAnaerobic Digestion and Biogas Production
Canadian institutionsDalhousie University
Fundersnot available
KeywordsBiogasRenewable energyWaste managementFossil fuelAlternative energyPopulationEnvironmental scienceRenewable fuelsNatural resource economicsEnvironmental economicsBusinessEngineeringEconomics

Abstract

fetched live from OpenAlex

Abstract The unprecedented increase in oil prices has researchers scrambling for alternative fuel sources. This crisis gives environmentally conscious researchers a new argument in favor of renewable energy. Unfortunately, most renewable energy sources are either inefficient or too expensive. Vehicles around the world are creating a massive environmental problem. Researchers are now looking for an economical and useful alternative to fossil fuel. This article demonstrates that biogas derived from household waste and manure can be used as an efficient fuel source for vehicles. A typical digester design is also shown here. It has been shown that an estimate of biogas production can produce around 1,000 m3/day in an urban area of around 40,000 population. A comparative statement of biogas production for water hyacinth-cow dung mixture and domestic waste is also shown as a case study.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.647
Threshold uncertainty score0.547

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.193
Teacher spread0.181 · 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