Bibliographic record
Abstract
Deaths resulting from pulmonary emboli are common. The autopsy dissection, documentation, and ancillary studies pertaining to pulmonary emboli are important components of evaluating such fatalities. The detection of a saddle embolism at autopsy does not signify the end of the investigation because the underlying risk factors still may need to be determined. The gross, microscopical, and genetic findings can distinguish various thrombotic risk factors and etiologies. Because deaths caused by pulmonary emboli may involve medicolegal issues, a dependable protocol is needed for their investigation. In particular, the timing of a pulmonary embolism may have important medicolegal consequences. Because of the pathophysiology and propagation of a thrombus, one may see a broad histological range of thrombosis and organization. Histological examination of residual deep vein thrombus provides the best opportunity to properly age the thrombus. Understanding the pathogenesis and pitfalls of venous thromboembolism allows the pathologist to properly certify the proximate cause of death. Currently, there are DNA techniques that allow for the postmortem diagnosis of some hereditary thrombophilias. These include factor V, prothrombin, and methylenetetrahydrofolate reductase mutations. Decedents who are candidates for these tests include those who are younger than 45 years of age; those whose deaths were related to pregnancy; those with a history of recurrent or unexplained stillbirths, oral contraceptive pill use, hormone replacement, or treatment with chemotherapy; those with weak risk factors (long car ride, flights, obesity); or those with deep venous thrombosis of undetermined etiology. These tests benefit the investigator, who is attempting to discern the proximate cause, and potentially the surviving family members.
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 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".