Bibliographic record
Abstract
Asthma is a common disease in the population and fatal asthma cases are not rare. Patients with fatal asthma not infrequently die outside of hospitals and become forensic cases. The pathologic features of asthma are very variable, but fatal asthma is always characterized by extensive mucous plugs in the airways and lungs that tend to remain inflated when the chest is opened. Other microscopic features that may be seen in asthma include increased amounts of airway smooth muscle, marked thickening of airway basement membranes, goblet cell hyperplasia, and various patterns of airway inflammation including eosinophils, neutrophils, and lymphocytes. Absent a history, a presumptive diagnosis of fatal asthma can be made in a patient whose lungs are hyperinflated and demonstrate numerous mucous plugs in the large airways, and this is usually accompanied by a markedly thickened basement membrane in the large airways on microscopic examination, but the possibility that the fatal asthma attack was precipitated by exogeneous factors such as drugs, fumes, or irritants should be borne in mind.
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 | 0.002 |
| 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 | 0.000 |
| 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".