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Record W2403122815 · doi:10.1055/s-2004-819949

Measurements of Cardiac Output During Constant Exercises: Comparison of Two Non-Invasive Techniques

2004· article· en· W2403122815 on OpenAlex
Nicolás Tordi, Laurent Mourot, B Matusheski, Richard L. Hughson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Sports Medicine · 2004
Typearticle
Languageen
FieldMedicine
TopicHemodynamic Monitoring and Therapy
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsImpedance cardiographyCardiac outputSteady state (chemistry)MedicineHeart rateCardiologyHemodynamicsAnesthesiaInternal medicineStroke volumeChemistryBlood pressure

Abstract

fetched live from OpenAlex

We compared cardiac output (CO) determined simultaneously by electrical impedance cardiography method (CO (ICG)) and by the CO (2) rebreathing technique (CO (2REB)) during three different steady-state exercises (target heart rate of 120, 140, and 160 min (-1)) in 8 healthy fit young men. The mean difference correlation coefficient obtained between the values of CO (ICG) and CO (2REB) was 0.85 and the mean difference (CO (ICG)-CO (2REB)) was 0.06 l/min (0.12 %). At 120 min (-1), CO (ICG) was lower than CO (2REB) but the tendency was reversed at 140 and 160 min (-1) where CO (ICG) was higher than CO (2REB). This evolution may be explained by the difficulty of using CO (2) rebreathing technique at the highest steady-state exercises and by the progressive acidemia due to exercise. The present results suggest that electrical impedance cardiography method provides acceptable evaluation of CO and may favourably replace the CO (2) rebreathing technique during mild (or moderate) to high steady-state exercises.

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.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.540
Threshold uncertainty score0.425

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.033
GPT teacher head0.352
Teacher spread0.319 · 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