Epidemiological analysis of scorpion envenomation in high-risk regions of Jiroft and Southern Rudbar, Kerman Province (2019-2023)
Bibliographic record
Abstract
AbstractThis retrospective, descriptive study utilized data obtained from the Vice Chancellery for Health Affairs at Jiroft University of Medical Sciences. Data collection spanned the years 2019 to 2023. Statistical tables and figures were constructed, followed by comprehensive data analysis. The highest frequency of scorpion stings was recorded in 2022, while the lowest incidence occurred in 2021. In Jiroft county, stings affected males in 50.7 to 55% of cases, whereas in Rudbar-e Jonub county, females accounted for 50.4 to 56.6% of cases. The incidence rate in rural areas of Jiroft county ranged from 62.8 to 76.2%, compared to 81.7 to 87.4% in Rudbar-e Jonub county. Regarding seasonal distribution, August showed the highest incidence in Jiroft, followed by June, while June was most frequent in Rudbar-e Jonub, followed by September. January consistently demonstrated the lowest incidence rates in both counties. The incidence rate of scorpion envenomation in Rudbar-e Jonub County is approximately 10 times higher than the national average.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".