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Record W2013750938 · doi:10.1016/j.injury.2007.06.005

Hollow-point ammunition and handguns: The potential for large temporary cavities

2007· article· en· W2013750938 on OpenAlexaff
Fernando Antônio Campelo Spencer Netto, Dylan Pannell, Homer Tien

Bibliographic record

VenueInjury Extra · 2007
Typearticle
Languageen
FieldMedicine
TopicTraumatic Ocular and Foreign Body Injuries
Canadian institutionsCanadian Armed ForcesHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsAmmunitionBallisticsGunshot woundProjectileMechanicsMuzzle velocityPoison controlMedicineForensic engineeringSurgeryPhysicsEngineeringMaterials scienceMedical emergency

Abstract

fetched live from OpenAlex

In the civilian setting, gunshot wounds are usually secondary to handguns. Wound ballistics for handgun bullets are notable for low velocities and low kinetic energy; as a result, these bullets are thought to only injure tissues that are directly in their path. This bullet tract is called the permanent cavity. In contrast, high velocity rifles can also create temporary cavities; the kinetic energy imparted by these bullets is propagated as hydrostatic force that displaces tissue forward and radially, producing a temporary displacement of tissues. This temporary cavity may be considerably larger than the diameter of the bullet, but rarely lasts longer than a few milliseconds before collapsing back into the permanent cavity. We describe a case where a patient presented with a large pulmonary contusion that was secondary to the temporary cavity caused by a tangential handgun wound to the chest. In this case, the gunshot wound was caused by a calibre .40 handgun using hollow-point ammunition. Some consideration, however, should be given to the type of handgun and ammunition used. Large calibre handgun bullets may also cause large temporary cavities. In addition, hollow-point bullets may also contribute to a large temporary cavitation effect. Hollow-point bullets are designed to rapidly deform upon entering tissue, thereby becoming unstable. As a result, these bullets tend to disintegrate upon contact, remain within the target, and impart all of their kinetic energy to the surrounding tissue.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.003
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.016
GPT teacher head0.286
Teacher spread0.271 · 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 designObservational
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

Citations8
Published2007
Admission routes1
Has abstractyes

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