Craniofacial Horn Injuries: Rares Lesional Entities at the University Hospital of Bouaké (Côte d’Ivoire)
Bibliographic record
Abstract
Aim: Describe the epidemiological, clinical and therapeutic particularities of craniofacial trauma by encornment. Type of study: This was a retrospective and descriptive study. Material and methods: It took place in the surgical emergency departments of Bouaké (Côte d’Ivoire) University Hospital from January 2013 to December 2017, for a period of 5 years. It focused on patients of 0 to 5 years old admitted for craniofacial trauma involving the horn of a bovine. Results: Of the 26 cases of traumatic encornment, 11 were craniofacial location (42%). There were 9 male and 2 female victims. The average age was 10.54 years with extremes of 6 months and 24 years. Patients came from rural areas of Côte d’Ivoire. Bovids were responsible for all causal encornements. The lesions involved the scalp (3 cases) and the face (8 cases). The lesions were cutaneous-musculo skeletal in 7 cases. The surgical treatment included debridement associated to a suture in all cases and associated with maxillo mandibular blockage in 3 cases and duro-cranioplasty in one case. Conclusion: In the local context, facial cranio traumatism by encornement is rare and seems to be essentially infantile, masculine and rural problem.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".