Lethal Neurotoxicity Induced by Endosulfan Ingestion
Bibliographic record
Abstract
Endosulfan is a highly toxic agricultural pesticide that has been banned in many countries due to its significant neurotoxicity and environmental persistence. Accidental or intentional ingestion by humans induces severe neurological symptoms, which frequently culminate in coma or death. Forensic evaluation of suspected endosulfan toxicity cases can be challenging, given that endosulfan residue may not be detectable in the blood or tissues at the time of death. As such, evaluation of the case history in the context of the reported literature becomes extremely important. Although acute endosulfan toxicity in adults has been well documented, pediatric cases are rare within the literature. Here we present the case of a toddler who accidentally ingested an unknown quantity of endosulfan from an unmarked water bottle on his family farm. The child developed rapid-onset neurological symptoms, including vomiting and seizures, followed by coma. Despite medical intervention, the child was eventually pronounced brain dead and taken off life support. Autopsy revealed massive cerebral edema and its sequelae (sutural diastasis, pituitary necrosis, and dural venous thromboses), and pulmonary thromboemboli. Endosulfan was detected in the bottle from which the child drank. As endosulfan was not detectable in postmortem blood, the cause of death was certified based upon the totality of available information including history, consistency of the case history with the clinical presentation, and the autopsy findings.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".