Kinetics of O<sub>2</sub>uptake, leg blood flow, and muscle deoxygenation are slowed in the upper compared with lower region of the moderate-intensity exercise domain
Bibliographic record
Abstract
Six male subjects [23 yr (SD 4)] performed repetitions (6-8) of two-legged, moderate-intensity, knee-extension exercise during two separate protocols that included step transitions from 3 W to 90% estimated lactate threshold (thetaL) performed as a single step (S3) and in two equal steps (S1, 3 W to approximately 45% thetaL; S2, approximately 45% thetaL to approximately 90% thetaL). The time constants (tau) of pulmonary oxygen uptake (Vo2), leg blood flow (LBF), heart rate (HR), and muscle deoxygenation (HHb) were greater (P < 0.05) in S2 (tauVo2, approximately 52 s; tauLBF, approximately 39 s; tauHR, approximately 42 s; tauHHb, approximately 33 s) compared with S1 (tauVo2, approximately 24 s; tauLBF, approximately 21 s; tauHR, approximately 21 s; tauHHb, approximately 16 s), while the delay before an increase in HHb was reduced (P < 0.05) in S2 (approximately 14 s) compared with S1 (approximately 20 s). The Vo2 and HHb amplitudes were greater (P < 0.05) in S2 compared with S1, whereas the LBF amplitude was similar in S2 and S1. Thus the slowed Vo2 response in S2 compared with S1 is consistent with a mechanism whereby Vo2 kinetics is limited, in part, by a slowed adaptation of blood flow and/or O2 transport when exercise was initiated from a baseline of moderate-intensity exercise.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".