Task Group 6/7 on Fuel Properties Report to the Fuel Tank Harmonization Working Group of the
Bibliographic record
Abstract
The Fuels Properties Task Group was charged with assessing the feasibility of using jet fuel with a higher flash point in the civil transport airplane fleet than required by current Jet A/Jet A-1 Specification, as a means of reducing the exposure of the fleet to flammable/explosive tank vapors. This report describes the efforts performed by Task Group 6/7 for the Aviation Rulemaking Advisory Committee (ARAC) Fuel Tank Harmonization Working Group. Raising the minimum flash point of jet fuel will result in a combination of changes to other fuel properties, such as viscosity. The magnitude of change is dependent on the severity of flash point increase. The engine and APU manufacturers have no experience base for such modified fuels, and are concerned about the risk of adverse impact on altitude relight and low temperature operations (especially Extended Twin Operations, ETOPS). Mitigating actions, including hardware modifications, fuel specification revisions, use of additives and revised operational limits, have also been reviewed. Dependent on magnitude of change, laboratory, rig and/or full-scale engine testing on reference fuels may be required to quantify the impacts. Raising the minimum flash point could also significantly raise the manufacturing cost and decrease the availability of the modified jet fuel. The predicted impact on jet fuel price could be significant. Again, the higher the flash point, the more severe the affect. The fuel impacts are most severe outside of the U.S. because of the differences in overseas refinery configurations and product demand. Some countries indicated that changes in flash point are not viable options to which they would subscribe (Canada,
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.058 | 0.036 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.011 | 0.004 |
| Research integrity | 0.020 | 0.008 |
| Insufficient payload (model declined to judge) | 0.018 | 0.026 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".