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Record W2605877134 · doi:10.23907/2012.039

Fatal Envenomations - Snakes and Other Creatures

2012· article· en· W2605877134 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAcademic Forensic Pathology · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVenomous Animal Envenomation and Studies
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsEnvenomationCreaturesForensic pathologyBiologyAutopsyVenomMedicineMedical emergencyEcologyPathology

Abstract

fetched live from OpenAlex

Envenomations by toxic creatures is a global health problem with an annual mortality from snake envenomation of over 125,000 cases. While various snake species bites are the most commonly encountered fatal envenomation, scorpions, spiders and marine creatures can all cause fatalities. Although venomous creatures have specific geographical habitats, the keeping of exotic pets and modern transportation, along with venomous collections in zoos, means that fatal envenomations may be encountered in non-endemic areas. There are a variety of toxins that may be encountered including neurotoxins, proteases, and myotoxins that will result in a variable amount of tissue damage depending upon the species involved and the toxin they carry. The autopsy findings may be relatively nonspecific and a careful search of the skin may be required to identify the envenomation site, along with a consideration of the history and the scene. External and internal damage will vary with the specific toxin. This paper reviews fatal envenomations, the toxinology and likely autopsy findings.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score0.412

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.020
GPT teacher head0.277
Teacher spread0.257 · 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