Exercise intensity and the post-exercise elevation in esophageal temperature.
Bibliographic record
Abstract
In order to examine the effects of exercise intensity on the post exercise elevation in esophageal temperature (DeltaTes), 8 male subjects performed 15 minutes of treadmill running exercise at 3 different exercise intensities, subthreshold (70% VO2max), threshold (84% VO 2max, and suprathreshold (93% VO2max), followed by an upright 45 minute recovery period. In addition, the effects of exercise intensity on the internal temperature threshold for cutaneous vasodilation (Tdil ), as well as post exercise blood pressure, cutaneous blood flow (SkBF) and cardiovascular conductance (DeltaCVC), were examined. Significant differences (p < 0.05) in DeltaTes were found between the 3 exercise intensities during exercise, as well as between suprathreshold (0.91°C), and threshold (0.56°C)/subthreshold (0.44°C) intensities during the recovery period. The elevated DeltaTes remained significantly above pre-exercise values for the entire recovery period for all 3 exercise intensities. Exercise intensity also demonstrated an effect on Tdil during exercise where significant differences were found between the 3 exercise intensities (0.26°C, 0.47°C, 0.84°C for subthreshold, threshold, and suprathreshold intensities respectively). However, no significant correlation was found between Tdil, and post exercise DeltaTes. Finally, a state of hypotension with respect to pre-exercise was observed during recovery from suprathreshold exercise. This could explain the significantly higher post exercise elevation in DeltaTes from subthreshold and threshold 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 | 0.001 |
| 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) | 0.001 | 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".