Deaths in risk classes I–III: a measure of quality of care in patients hospitalised with CAP?: Table 1
Bibliographic record
Abstract
All deaths occurring in patients with community-acquired pneumonia in risk classes I-III were reviewed as a quality-of-care measure. The immediate and underlying causes of death were classified according to the World Health Organization protocol. Eleven (1.8%) of the 608 low-risk patients died. Three of the patients did not have pneumonia, one of whom was admitted with atypical pulmonary oedema due to stenosis of a prosthetic heart valve. Failure to include chronic lung disease in the severity-of-illness scoring system resulted in misclassification of seven patients. The most common underlying causes of death were pulmonary fibrosis at 27%, chronic obstructive lung disease at 18% and cancer at 27%. Respiratory failure was the immediate cause of death in 64% of patients, cardiac causes in 27%, and pneumonia in 9%. To conclude, the review of deaths in patients at low risk for mortality is useful for monitoring the quality of care received by patients who require admission for the treatment of community-acquired pneumonia, and that the pneumonia-specific severity-of-illness scoring system results in misclassification of patients with chronic obstructive lung disease and pulmonary fibrosis.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.005 | 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 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".