Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
To review the trends of trauma in the elderly experienced at our trauma center compared with other Level I trauma centers. This was a retrospective trauma registry analysis (1996-2003) of 2783 blunt trauma in elderly (BTE) and 4568 adult (BTA) patients in a Level 1 trauma center. Falls and motor vehicular crashes were the most common mechanisms noted in 47 per cent and 31 per cent (84% and 13% in BTE, 25% and 42% in BTA). BTE were sicker, with higher Injury Severity Scores (ISS), lengths of stay, and mortality (5% vs 2%, P value < 0.05). ISS was 5.2-fold higher in nonsurvivors to survivors in BTA and 2.4-fold in BTE. Elevation in ISS resulted in higher linear increase in mortality in BTE (vs BTA) at any ISS level. Mortality in patients with ISS > or = 25 was 43.5 per cent vs 23.8 per cent. ISS > or = 50 had 31 per cent adult survivors but no elderly survivors. Among isolated injuries, head trauma in the elderly carried the highest mortality, at 12 per cent (19% in patients with an Abbreviated Injury Score > or = 3). Abdominal injuries were the most lethal (18.3% and 41.2% in patients with an Abbreviated Injury Score > or = 3) in multiple trauma victims (41% vs 18% in isolated trauma). There was 4.4-fold increased mortality in the presence of thoracic trauma. Combined head, chest, and abdominal trauma carried the worst prognosis. Thirty-four per cent of BTE and 88 per cent of BTA patients were discharged home. Elderly patients need more aggressive therapy, as they are sicker with higher mortality.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it