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Record W3023190661 · doi:10.1097/paf.0000000000000545

Dislocation of Internal Organs of the Neck and Trunk Into Crush Injuries of the Head

2020· article· en· W3023190661 on OpenAlexaff
Łukasz Szleszkowski, Wojciech Golema, Tomasz Jurek

Bibliographic record

VenueAmerican Journal of Forensic Medicine & Pathology · 2020
Typearticle
Languageen
FieldMedicine
TopicTrauma Management and Diagnosis
Canadian institutionsCanadian Science Centre for Human and Animal Health
Fundersnot available
KeywordsMedicineAnatomyLarynxTrunkSkullAutopsyEsophagusGreat vesselsRib cageAortaSpinal columnSurgeryPathology

Abstract

fetched live from OpenAlex

The authors report on a case of a 43-year-old male pedestrian struck and run over by a truck. The accident was accompanied by a mechanism of injury resulting in a unique autopsy picture of trunk and head injuries. The internal organs of the neck (larynx, trachea, esophagus), chest (lungs, thoracic aorta), and part of the abdominal cavity (bottom of the stomach and fragments of the liver) were dislocated in the direction of the head. The result was a traumatically deformed, crushed skull characterized by an extensive gaping wound with excerebration. The organs were dislocated through a channel formed by the rupture of soft tissues and comminuted fracture of the base of the skull. Parts of internal organs (larynx, trachea, and aorta) were turned 180° around the transverse axis of the body. This report, due to its unusual character, may be useful during detailed analysis of potential injury mechanisms in traffic accidents involving pedestrians.

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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.278
Teacher spread0.263 · 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

Citations5
Published2020
Admission routes1
Has abstractyes

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