Evaluation of Acute Alcohol Intoxication as the Primary Cause of Death: A Diagnostic Challenge for Forensic Pathologists
Bibliographic record
Abstract
Deaths caused by acute alcohol intoxication (AAI) remain a major public health issue. This study is retrospective and descriptive: an 8-year case analysis of deaths due to AAI in Maryland. Study showed that of 150 AAI deaths, the death rate among Hispanics (10.41/100,000 population) was significantly higher than all the non-Hispanics combined (1.88/100,000 population). The majority of individuals were young adults, overweight, and binge drinkers. The obese group showed significantly lower mean heart and peripheral blood alcohol concentration (BAC) (0.36%, 0.37%) than the normal weight group (0.45%, 0.42%). Based on the PBAC and urine AC ratio, 49.6% deaths likely occurred close to peak phase, followed by postabsorptive phase (31.6%) and absorptive phase (18.8%). Our results indicate that forensic pathologists should evaluate postmortem BAC in the light of individual's age, drinking history, body weight, possible phase of alcohol intoxication, and other autopsy findings when certifying AAI as primary cause of death.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".