Visual blurring and metabolic acidosis after ingestion of bootlegged alcohol
Bibliographic record
Abstract
Extracorporeal treatments have an important role in the management of several types of poisonings and drug overdosage. Methanol poisoning is a major problem in large parts of the developing world, especially among the economically depressed, and is responsible for innumerable deaths annually. Poisoning occurs when methanol, a contaminant of bootlegged alcohol, is consumed unknowingly. Toxicity is related to formaldehyde and formic acid formed as a result of methanol metabolism, and presents as metabolic acidosis, visual impairment, neurological manifestations, and shock. Initial symptoms are nonspecific and masked by the inebriating effect of ethanol. Appropriate management requires immediate administration of ethanol, which competitively inhibits methanol metabolism and prevents the generation of toxic formic acid and hemodialysis to achieve expeditious clearance of methanol and formic acid. Fomepizole, a safer metabolic inhibitor, has largely replaced ethanol in the western world. Delay in seeking medical attention contributes to mortality and morbidity. We report on a patient who presented to us 8 hr after consumption of countrymade alcohol with symptoms of methanol poisoning. Prompt administration of ethanol and institution of hemodialysis resulted in complete reversal of all manifestations.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| 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".