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Record W336753046

Respiratory Changes and Consequences for Treatment of Decompression Bubbles Following Severe Decompression Accidents

2001· article· en· W336753046 on OpenAlexaboutno aff
V. Flook, Ronald Y. Nishi, Aaron Khan

Bibliographic record

VenueDefense Technical Information Center (DTIC) · 2001
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and Diving-Related Complications
Canadian institutionsnot available
Fundersnot available
KeywordsDecompressionBreathingMedicineSurgeryDecompression sicknessDecompression illnessBubbleGas bubbleAnesthesiaMechanicsPhysics
DOInot available

Abstract

fetched live from OpenAlex

Earlier papers describe the theoretical and experimental work carried out to determine the best treatment strategy following severe decompression accidents during use of self-contained breathing apparatus such as the Canadian Underwater Minecountermeasure Apparatus (CUMA). The previous paper has described the extent to which decompression bubbles were formed in anaesthetized animals subjected to controlled primary and treatment hyperbaric procedures; the range of bubble counts was from zero to fatal. Treatment recompression apparently removed the bubbles quickly but in many cases this was not followed by an improvement in the condition of the animal and death occurred during the treatment. The experiments were designed to require minimal surgical intervention prior to the experiments to reduce the possibility that bubble numbers were influenced by surgery and indwelling catheters.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score0.499

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 head0.044
GPT teacher head0.321
Teacher spread0.277 · 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 designNot applicable
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

Citations0
Published2001
Admission routes1
Has abstractyes

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