The Face of War: Maxillofacial Patients in the Syrian Civil War
Bibliographic record
Abstract
The type of the armed conflict on the Syrian battle field acquired several types of injuries; including injuries that were caused by explosive, shrapnel and blast injuries.In the current study, the authors conducted an overview of maxillofacial patients, who mainly suffered from ballistic injuries in term of injuries, reconstruction, and management.Overall, 53 maxillofacial Syrian patients were treated. The most prominent injury was soft tissue lacerations (21/97) and in terms of hard tissue injuries, the most prominent site was the mandible (N = 19) while the ramus and the body presented the most common sub-sites of injury. Hard tissue injuries were treated either by close or open reduction to obtain primary stabilization.From the psychological aspect, most of the patients suffered from guilt for leaving the combat area, those patients were mostly males in their 20s or 30s. On the other hand, older patients suffered mainly from depression, stress, and fear of returning to their home land.To conclude, the Syrian civil war has several characteristics that defer from other combats. Thus, the management of Syrian patients has to be tailored accordingly.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".