Pitfalls and Artifacts in the Neck at Autopsy
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
The diagnosis of strangulation at autopsy is a persistent challenge for the forensic pathologist. The main difficulty is interpreting the observations made at the postmortem table and deciding whether the observations are a sufficient basis to render an expert opinion that death was caused by external compression of the neck. This may have considerable importance to the criminal justice system and may lead to a conviction for murder. There are five main pitfalls and artifacts encountered in the neck at postmortem examination. These five areas provide the majority of the interpretative difficulties experienced by the pathologist. These challenges include: 1) developmental anatomy of the hyoid bone; 2) triticeous cartilages; 3) Prinsloo-Gordon hemorrhage; 4) postmortem hypostatic hemorrhage; and 5) resuscitation-related neck injury. This review explores these five areas. Awareness of the pitfalls and artifacts in the neck is essential for a satisfactory and evidence-based approach to interpreting observations of the neck at autopsy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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