Case report of 2,4,D poisoning in st. Pauls hospital millennium medical college
Bibliographic record
Abstract
Abstract Background 2,4-Dichlorphenoxyacetic acid (2,4-D) a chlorphenoxy group pesticide, is a selective herbicide widely used to kill broad-leaved plants in wheat cultivation. This toxin is extremely lethal, with a fatality rate that approaches 100%. This poison's severe pulmonary, renal, neurological, gastrointestinal, and myotoxic effects result in fast demise and multi-organ failure. Poisoned patients should be given the option of urine alkalization with high-flow urine output and hemodialysis in addition to supportive care The aim of this report is to explicitly the case's diagnosis, differential, treatment, and related challenges in relation to the available literature. Case report: we report a case of 20 years old male patient who presented to the ED after he ingested an unspecified amount of 2,4-D herbicide & lost consciousness for about 16 hours’ duration. Associated with this was frequent vomiting of unspecified amounts of ingested matter. Conclusion: There is a significant lack of knowledge gap among farmers about pesticide use. poisoned patients should be given the option of urine alkalization with high-flow urine output and hemodialysis in addition to supportive care as much as possible.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".