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Record W4403911281 · doi:10.1139/apnm-2024-0340

Characterization of the cardiac cycle in Royal Canadian Mounted Police cadets

2024· article· en· W4403911281 on OpenAlexafffundvenueabout
Jyotpal Singh, R. Nicholas Carleton, Gregory P. Krätzig, J. Patrick Neary

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2024
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Performance
Canadian institutionsUniversity of Regina
FundersRoyal Canadian Mounted PoliceGovernment of Canada
KeywordsMedicineCardiac cycleCardiac function curveIsovolumic relaxation timeDiastoleCardiologyInternal medicinePhysical therapyDiastolic functionBlood pressureHeart failure

Abstract

fetched live from OpenAlex

Royal Canadian Mounted Police (RCMP) cadets experience high volumes of potentially psychologically traumatic events, suggesting a need of normal cardiac cycle interval data on the cadets for comparison. We characterize the cardiac cycle of incoming RCMP cadets starting the 26-week training program. The cadets collected their cardiac data using the LLA Recordis™ device. Male RCMP cadets had higher ( p < 0.05) myocardial and diastolic performance indices, aortic valve open to aortic twist time, and isovolumic relaxation time than female RCMP cadets. Monitoring the cardiac cycle intervals in RCMP cadets can provide insights into changes in their heart function from their occupational demands.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score0.979

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 head0.016
GPT teacher head0.337
Teacher spread0.321 · 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

Citations2
Published2024
Admission routes4
Has abstractyes

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