Study of Age and Gender Predilections amongst the Victims of Burns of Domestic Violence
Bibliographic record
Abstract
Background: Human life from conception till death needs some sources of energy or heating mechanism to advance from a day to another in the process of livelihood. From innocent infants falling victims to fires, toddlers to scalds, youth to vitriolage and elders to enmity of a variety of sources or to their own debilitation bring them close to the fire source let them fell a prey to burns. Aim: To observe the age and gender predilections amongst the victims of burns Methods: The study was carried out among 250 victims of burns presented from December 2017 to August 2018 and reported in the Accident and Emergency Department of Mayo Hospital Lahore and filtered in Medicolegal Clinic of King Edward Medical University Lahore. Results: The study revealed maximum involvement of pediatric and geriatric age groups falling victim to burn incidents. In an analysis as a whole almost 84% victims were belonging to these two extremes of ages. Gender disparity showed a slight difference of just 10% showing female preponderance being exposed to burns. Keywords: Burns, Age, Gender, Variation, Disparity
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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 | 0.000 | 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".