Loss of Ethanol from Vitreous Humor in Drowning Deaths
Bibliographic record
Abstract
Two separate cases of drowning with extended periods underwater (2 and 4 weeks) are reported. The postmortem ethanol concentrations were 260 and 280 in central blood, 50 and 80 in vitreous, and 330 and 320 in urine (mg/100 mL) for cases 1 and 2, respectively. Determination of the urine 5-hydroxytryptophol/5-hydroxyindole-3-acetic acid ratios produced results of 713 and 41 pmol/nmol, respectively. The serotonin metabolite ratios support the explanation of diffusion of ethanol from the vitreous fluid into the surrounding water, rather than postmortem production of ethanol in blood, as the primary reason for the blood-vitreous ethanol differences.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".