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Cardiovascular and splenic responses to exercise in humans

2003· article· en· W2152997690 on OpenAlex

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

VenueJournal of Applied Physiology · 2003
Typearticle
Languageen
FieldMedicine
TopicExercise and Physiological Responses
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHematocritSpleenPlasma volumeHemoglobinInternal medicineEndocrinologyBlood volumeChemistryAlbuminVolume (thermodynamics)Red blood cellMedicine

Abstract

fetched live from OpenAlex

To investigate splenic erythrocyte volume after exercise and the effect on hematocrit- and hemoglobin-based plasma volume equations, nine men cycled at an intensity of 60% maximal O(2) uptake for 5-, 10-, or 15-min duration, followed by an incremental ride to exhaustion. The reduction in spleen volume, calculated using (99m)Tc-labeled erythrocytes, was not significantly different among the three submaximal rides (5 min = 28%, 10 min = 30%, 15 min = 36%; P = 0.26). The incremental ride to exhaustion resulted in a 56% reduction in spleen volume, which recovered to baseline levels within 20 min. Plasma catecholamines were inversely related to spleen volume after exercise (r = 0.70-0.84; P < 0.0001). There were no differences in red cell or total blood volume pre- to postexercise; however, a significant reduction in plasma volume was observed (18.9%; P < 0.01). There was no difference between the iodinated albumin and the hematocrit and hemoglobin methods of assessing plasma volume changes. These results suggest that the spleen regulates its volume in response to an intensity-dependent signal, and plasma catecholamines appear partially responsible. Splenic release of erythrocytes has no effect on indirect measures of plasma volume.

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 score0.909
Threshold uncertainty score0.396

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 head0.021
GPT teacher head0.284
Teacher spread0.263 · 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