Analysis of Two Jet Engine Lubricating Oils and a Hydraulic Fluid: Their Pyrolytic Breakdown Products and Their Implication on Aircraft Air Quality
Bibliographic record
Abstract
Aircraft air quality incidents are often traced to jet engine oil and/or hydraulic fluid leaking into bleed air used to ventilate the cabin. These contaminants can be subjected to temperatures in excess of 500°C. Exposed flight crew members have reported symptoms including dizziness, nausea, disorientation, blurred vision, and tingling in legs and arms. Pyrolysis experiments of two jet engine oils and one hydraulic fluid at 525°C showed the engine oils to be important sources of carbon monoxide (CO). The same 5 out of the 10 possible tri-cresyl phosphate (TCP) isomers that were found in the bulk oils were found in the atmosphere at ambient temperatures after pyrolysis and were likely associated with smoke particles, illustrating an important potential route of exposure. Tri-orthocresyl phosphate (TOCP) was not found in the oils or fluid tested. The neurotoxin trimethyl propane phosphate (TMPP) was not found. It was suggested that different symptoms could be expected depending on which fluid was pyrolized.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".