Profile of Deaths due to Electrocution: A Retrospective Study
Bibliographic record
Abstract
We carried out a retrospective analysis of deaths due to electrocution from the medico-legal deaths reported to our institution.Majority of the victims were males belonging to the age group of 11-50 years.Almost all deaths were accidental and most of them were concentrated in the period of monsoon implicating the important role of wetness in causing these deaths.In contrast to the studies done in the West, bathtubs, heaters or hair dryers were not involved in any of the deaths.The mortality rate due to electrocution was significantly higher at 4.4 per one lakhs (100000) population in the present study as against the figures of 0.94 and 0.14 from Bulgaria and Canada respectively.Most of the deaths were either instantaneous or immediate and most of the deaths were preventable by electrocution.It signifies that people living at home did not have elementary knowledge of risks of electrocution; therefore awareness about use of good quality electric appliances and cables is the need of the hour.
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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 | 0.001 |
| 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".