The Analysis of Gun‐Cleaning Oil as Long‐Distance Gunshot Residue and Its Implications for Chemical Tags on Bullets
Bibliographic record
Abstract
Using a BB gun, it was shown that a gun-cleaning oil (GCO) can be wiped from the barrel by a projectile and carried much longer distances than those usually associated with solid gunshot residue (GSR). Analysis of GCO subsequently deposited on a target was performed using pentane extraction and gas chromatography. (Hoppe's GCO was used here as a model.) When a 0.45 caliber handgun was used, analysis reveals that most of the GCO wiped from the barrel does not survive, owing to the elevated temperatures encountered. However, two components of the GCO, a long-chain fatty acid and its ethyl ester, do survive and can be detected in the bullet wipe. This suggests that GCO may be considered as GSR, uniquely detectable at long distances, and that other chemical compounds could either be added to a GCO or directly to bullets, to serve as identifying chemical tags.
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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) | 0.001 | 0.000 |
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.
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".