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Record W2138783861 · doi:10.1093/jat/bks074

Deaths Involving 1,1-Difluoroethane at the San Diego County Medical Examiner's Office

2012· article· en· W2138783861 on OpenAlexaff
Chris Vance, Christopher I. Swalwell, Iain M. McIntyre

Bibliographic record

VenueJournal of Analytical Toxicology · 2012
Typearticle
Languageen
FieldMedicine
TopicPoisoning and overdose treatments
Canadian institutionsOffice of the Chief Medical Examiner
Fundersnot available
KeywordsMedical examinerMedicineConfusionPoison controlToxicologyEmergency medicineInjury preventionPsychologyBiologyPsychoanalysis

Abstract

fetched live from OpenAlex

Intentional abuse of 1,1-difluoroethane has been reported to cause transient symptoms such as confusion, tremors, pulmonary irritation, loss of consciousness and, rarely, coma. In the last five years, 17 cases from the San Diego County Medical Examiner's Office showed the presence of 1,1-difluoroethane in postmortem tissues, and the gas was cited in the cause of death in 13 of those cases. Detected during routine ethanol screening, 1,1-difluoroethane was evaluated for concentrations in peripheral blood, central blood and vitreous humor by a slightly modified method published by Avella et al. In many cases, death from abuse of 1,1-difluoroethane seemed to occur within minutes of intentional abuse; large concentrations (>100 mg/L) of the gas were still in the blood. It is important that forensic toxicology laboratories have routine screening procedures to detect 1,1-difluoroethane because cases exist in which evidence of use from cans may not be present in proximity to the decedent, or may be undiscovered in the debris of a motor vehicle accident. It is also important to quantify concentrations of 1,1-difluoroethane in both peripheral blood and central blood, whose ratio may be useful in interpreting how recently the use of the 1,1-difluoroethane occurred.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.036
GPT teacher head0.328
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations25
Published2012
Admission routes1
Has abstractyes

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