Illicit Fentanyl-Related Fatalities in Florida: Toxicological Findings
Bibliographic record
Abstract
Fentanyl induces pharmacological effects and abuse liability comparable to other prescription opioids and heroin. A surge in fentanyl-related fatalities has been periodically reported throughout the USA. The University of Florida Forensic Toxicology Laboratory observed a significant increase in fentanyl-related deaths starting in mid-2014. The present report evaluated toxicological findings, demographics of the decedents and circumstances of death in the postmortem cases that were submitted to the laboratory for toxicological analysis from July 2014 to January 2015 and that were tested for fentanyl in biological specimens. The cases originated from 6 of the 24 Florida Medical Examiner Districts, with the majority from District 12 (Desoto, Manatee and Sarasota counties). The specimens were analyzed for fentanyl by gas chromatography-mass spectrometry; the limit of detection (LOD) was 0.62 ng/mL and the limit of quantification (LOQ) was 2.5 ng/mL. During the 7-month period, the laboratory tested 143 postmortem cases for fentanyl and 50% had quantifiable fentanyl in postmortem blood. Fentanyl concentrations ranged from 2.5 to 68 ng/mL (n = 66; median: 9.8 ng/mL); six cases were positive for fentanyl >LOD but
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".