CUTICULAR HYDROCARBONS OF PUPAL CASES OF Chrysomya megacephala (FABRICIUS) AND ITS POSSIBLE USE FOR ESTIMATING POSTMORTEM INTERVAL
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.
Bibliographic record
Abstract
Pupal cases of Chrysomya megacephala are commonly found at death scenes; however, its utilization for forensic investigation remains nascent. Although the use of cuticular hydrocarbons (CHCs) for estimating the age of pupal cases has been reported, they were either laboratory-controlled experiments or in environmental conditions peculiar to Malaysia. Hence, this present research examined the CHCs in the pupal cases of C. megacephala exposed to the natural weathering in Malaysia provides empirical evidence for its age estimation. While confirmation of the identity of CHCs was done using gas chromatographymass spectrometry, gas chromatography-flame ionization detector was used for quantifying the concentrations. The hexane extract of the pupal cases of C. megacephala contained a mixture of odd-numbered high molecular weight aliphatic (heptacosane (n-C27) and nonacosane (n-C29)), and branched alkanes (tetradecane, 2,6,20-trimethyl-and octadecane, 3-ethyl-5-(2-ethylbutyl)). Significant decrease (p <0.05) in the concentrations of n-C27 and n-C29 was observed, with the pattern being highly correlated (r > -0.926) with that of subsequent weathering intervals. Such findings had enabled formulation of credible mathematical algorithms for relating the concentrations of n-C27 and n-C29 in the pupal cases of C. megacephala versus the natural weathering intervals for its age estimation in Malaysia.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it