Infant Heart Dissection in a Forensic Context: Babies are Not Just Small Adults
Bibliographic record
Abstract
Medical examiners who investigate infant deaths are required to consider a large number of natural and non-natural causes due to the broad differential diagnosis of unexpected infant death. Among the myriad of causes are those related to disorders in structure and function of the cardiovascular system. Adult hearts are routinely and efficiently evaluated by medical examiners because of the large anatomic structures and limited spectrum of commonly encountered diseases. Infant deaths are comparatively rare. Although infant hearts may be evaluated with similar efficiency, the pathologist must first have a detailed knowledge of developmental cardiovascular anatomy and of the subtleties of a broad spectrum of infantile cardiovascular pathology. Furthermore, the pathologist must be aware of additional details to be observed and documented in infant cardiac studies, and of the dissection techniques that facilitate acquisition of that data. Rote dissection of an infant heart as if it were an adult heart may lead to overlooked malformations and diseases that may have been the underlying cause of death. This brief review paper covers the fundamentals of pediatric cardiovascular anatomy and dissection techniques as they apply to the practice of pediatric forensic pathology.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".