Survival period in fatal road traffic accidents
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
The intervals between injury and death in 450 fatalities after road accidents were analyzed and correlated with other data. Pedestrians were commonest group involved (28.7%) followed by occupants of cars (25.8%) and Motorcyclists (23.1%). In round figures, a third of series died with in half an hour, two third by 12 hours and three Quarter by 48 hours after accidents. Ninety percent of victims died with in one week. The pattern of survival time could be divided into three phases.There was an early steep decline the 38.4% dying during first half an hour and 40% with in one hour of accident. This was followed by longer stage during which rate of dying decreased progressively in logarithmic fashion. The cumulative tolls were 60.2% by 6 hours, 67.8% by 12 hours, 77.1%by 24 hours and 90% by 7 days. Between 7 to 14 days another 7% died.
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 | 0.000 | 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