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Record W2260063172 · doi:10.4271/2004-01-0122

Effect of Diesel Soot Deposition on the Performance of Exhaust Gas Recirculation Cooling Devices

2004· article· en· W2260063172 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

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2004
Typearticle
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSootExhaust gas recirculationDiesel exhaustExhaust gasDeposition (geology)Diesel engineEnvironmental scienceDiesel fuelDiesel particulate filterMaterials scienceParticulatesAutomotive engineeringWaste managementCombustionChemistryEngineeringGeology

Abstract

fetched live from OpenAlex

<div class="htmlview paragraph">An investigation was performed to characterize the effect that the particulate matter in diesel exhaust gas has on the performance of the exhaust gas recirculation (EGR) cooling devices used in the EGR systems for diesel engines. The tests were performed by exposing a small-scale device designed to model commercial devices. It was found that the fouling caused by the diesel exhaust had a significant impact on the performance of the device during 12 hours of operation, increasing the thermal resistance by 150% and the pressure drop by 200%. The change in the performance on consecutive tests was cumulative, although it was found that the performance of the device did improve slightly between tests.</div>

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.674
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.009
GPT teacher head0.240
Teacher spread0.231 · 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