<b>FREQUENCY OF MENTAL NERVE PARESTHESIA IN PARASYMPHYSIS FRACTURES</b>
Bibliographic record
Abstract
Objective: To identify the frequency of mental nerve injury in parasymphysis fractures. Study Design: Cross-sectional study. Place and Duration of Study: Department of Oral and Maxillofacial Surgery, Mayo Hospital Lahore, over a period of six months. Methods: During study 78 patients were enrolled. The patients who reported to have anesthesia / hypoesthesia (numbness) of lower lip area on the affected side were considered to have mental nerve injury. Data was entered and analyzed in SPSS 26. Results: Among 78 patients, 89.7% were males and mean age was 32.69+10.523 years. The main cause of trauma among majority of patients (78.2%) was road traffic accident, 65.4% patients had simple fractures, 52.6% patients had presence of teeth for IMF and 21.8% patients had mental nerve injury. Association of mental nerve injury with clinical and fracture related characteristics showed significant results (P<0.05) regarding gender, fracture site, types of fractures and presence of teeth for IMF. Conclusion: Study concluded that the frequency of mental nerve injury was 21.8%. It was more prevalent among male patients and the most significant cause was road traffic accidents.
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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 | 0.000 | 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) | 0.002 | 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".