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Record W2611459621 · doi:10.1111/1556-4029.13526

Forensic Case Reports Presenting Immersion Pulmonary Edema as a Differential Diagnosis in Fatal Diving Accidents

2017· article· en· W2611459621 on OpenAlexaff
Julie Vinkel, Peter Bak, Peter Juel Thiis Knudsen, Ole Hyldegaard

Bibliographic record

VenueJournal of Forensic Sciences · 2017
Typearticle
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsNickel Institute
Fundersnot available
KeywordsDifferential diagnosisPulmonary edemaMedicineMedical emergencyPoison controlForensic pathologyInjury preventionOccupational safety and healthSuicide preventionHuman factors and ergonomicsEmergency medicineForensic engineeringAnesthesiaIntensive care medicineAutopsyEngineeringPathologyInternal medicineLung

Abstract

fetched live from OpenAlex

Immersion Pulmonary Edema (IPE) reduces the transport of gases over the respiratory membrane due to edema in the interstitium and respiratory zones. IPE has previously been described in both swimmers and divers, with a few known fatal cases. We have reviewed 42 SCUBA and snorkeling-related drowning deaths, and through a thorough analysis of each case, including both diving physiology and forensic pathology, we present IPE as a differential diagnosis to drowning in four cases. Our findings propose that; absence of watery content in the stomach and conducting airways, and liquid filled lungs without hyperexpansion, may be compatible with IPE. We suggest that IPE should be considered in cases where witness testimony reveals; no obvious signs of aspiration and rapid respiratory deterioration despite continuous breathing through an appropriate air source. The diagnosis should be based on the overall impression, including both the autopsy findings and the circumstances regarding the accident.

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 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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.565

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.049
GPT teacher head0.374
Teacher spread0.325 · 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 teacher head, 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

Citations15
Published2017
Admission routes1
Has abstractyes

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