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Asphyxial Deaths Caused by Automobile Exhaust Inhalation not Attributable to Carbon Monoxide Toxicity: Study of 2 Cases

2002· article· en· W1998393707 on OpenAlexaff
Gregory A. Schmunk, James A. Kaplan

Bibliographic record

VenueAmerican Journal of Forensic Medicine & Pathology · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeme Oxygenase-1 and Carbon Monoxide
Canadian institutionsOffice of the Chief Medical Examiner
Fundersnot available
KeywordsCarboxyhemoglobinCarbon monoxideCarbon monoxide poisoningInhalationAsphyxiaToxicityInhalation exposureCO poisoningPoison controlEnvironmental chemistryMedicineAnesthesiaMedical emergencyChemistryInternal medicine

Abstract

fetched live from OpenAlex

The authors report two suicides that resulted from the intentional inhalation of automobile exhaust gases in which death occurred without the formation of physiologically significant amounts of carboxyhemoglobin. These circumstances are correlated with measurements of the involved vehicles' exhaust gases, which showed reduced concentrations of carbon monoxide present, reflecting improvements in automobile engine technology. In the absence of carbon monoxide toxicity, the authors attribute death in these cases to asphyxia caused by carbon dioxide intoxication and diminished atmospheric oxygen concentrations.

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)0.001
metaresearch head score (Gemma)0.006
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.001
Science and technology studies0.0040.003
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0050.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.018
GPT teacher head0.268
Teacher spread0.249 · 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

Citations27
Published2002
Admission routes1
Has abstractyes

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