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Record W4380249933 · doi:10.1515/9780773590212-007

Incidence and Risk Factors for Venous Gas Emboli Formation in Canadian Forces Experimental Divers

2013· book-chapter· en· W4380249933 on OpenAlexaboutno aff
Kaighley Brett, Peter Zeindler

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2013
Typebook-chapter
Languageen
FieldMedicine
TopicCardiovascular and Diving-Related Complications
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIncidence (geometry)Physical therapyMathematics

Abstract

fetched live from OpenAlex

This study aims to investigate the relationship of self-reported pre-dive behaviours of Canadian Forces (CF) divers and detected venous gas emboli (VGE) post-experimental dive. A retrospective chart review of pre-dive questionnaires and matching post-dive venous Doppler bubble scores of 1,092 cf experimental dives was completed. Non-parametric categorical statistics were used to measure the effect of independent variables of age, exercise, alcohol, medication, smoking, food, fluid, fatigue, and infectious symptoms on maximum bubble grades (BG) measured precordially and at any site. Dives were analyzed as a single group and stratified into high-, moderate-, and low-stress dives, as well as exercise / no exercise during the dive subsets.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.983
Threshold uncertainty score1.000

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 head0.014
GPT teacher head0.210
Teacher spread0.196 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2013
Admission routes1
Has abstractyes

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