Detection of fatty acids in the lateral extent of the cadaver decomposition island
Bibliographic record
Abstract
Abstract Identifying biomarkers of decomposition may prove to be an important area of environmental and criminal forensics research. Biomarkers released during the decomposition process can be detected in soil as a means of confirming the presence of a decomposition site in the case of relocated or scavenged remains. This study was conducted to characterize the fatty acid profile in soil containing decomposition fluid and to determine the lateral extent of fatty acid release in the cadaver decomposition island (CDI). Owing to practical and ethical restrictions, the study utilized pig carcasses as human analogues to investigate postmortem decomposition on a soil surface. Soil samples were collected from directly beneath the carcasses and at increasing distances from the carcasses within the CDI. Fatty acids were extracted with chloroform, derivatized with a silylating agent and analysed using gas chromatography–mass spectrometry (GC-MS). Saturated and unsaturated fatty acids were detected including myristic (C14:0), palmitic (C16:0), palmitoleic (C16:1), stearic (C18:0) and oleic (C18:1) acids. Fatty acids were detected up to 50 cm in the lateral extent of the CDI at significantly higher levels in decomposition soil than in the control soil. The results indicate that fatty acid analysis of decomposition soil could be used to confirm the location of a decomposition site.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 teacher head, 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".