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Record W4380487535 · doi:10.17770/etr2023vol3.7304

EXPERIMENTAL STUDY OF TOXIC COMPONENTS IN THE EXHAUST GASES DURING THE OPERATION OF A CAR ENGINE WITH GASOLINE AND LPG

2023· article· en· W4380487535 on OpenAlexaff
Krasimir Ambarev, Valyo Nikolov

Bibliographic record

VenueEnvironment Technology Resources Proceedings of the International Scientific and Practical Conference · 2023
Typearticle
Languageen
FieldEngineering
TopicVehicle emissions and performance
Canadian institutionsTransport Canada
FundersEuropean Regional Development Fund
KeywordsAutomotive engineeringLiquefied petroleum gasGasolineExhaust gasChassisDynamometerPetrol engineEnvironmental scienceMotor oilEngineeringWaste managementInternal combustion engineMechanical engineeringAerospace engineering

Abstract

fetched live from OpenAlex

The article presents and analyzes the results obtained from an experimental study of the content of toxic components in the exhaust gases during the operation of a car engine with gasoline and liquefied petroleum gas (LPG). The study was conducted in laboratory conditions by loading the driving wheels with a roller-type chassis dynamometer, corresponding to the established movement of the car with constant speed on a horizontal road section.

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 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.432
Threshold uncertainty score0.130

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 head0.022
GPT teacher head0.240
Teacher spread0.218 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueEnvironment Technology Resources Proceedings of the International Scientific and Practical ConferenceSame topicVehicle emissions and performanceFrench-language works237,207