Injury in Kampala, Uganda: 6 years later.
Bibliographic record
Abstract
BACKGROUND: Trauma remains a tremendous cause of morbidity and mortality in most countries. The objective of our study was to describe injury from trauma at the major referral hospital in Uganda over a 1-year period. METHODS: Trauma registry forms have been completed for all trauma patients seen between August 2004 and July 2005 at the casualty department of Mulago Hospital in Kampala, Uganda. We also obtained 2-week follow-up data, and we compared these data with 1998 data from the same institution. RESULTS: In all, 3778 patients were entered into the database, with complete data available for 93.5% of patients. Patients had a mean age of 26 (standard deviation [SD] 12) years, and 75% of patients were male. The mean Kampala Trauma Score (KTS) was 9.1 (SD 1). We classified injuries as mild (82%; KTS 9-10), moderate (14%; KTS 7-8) and severe (4%; KTS
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".