Deoxy[Hb+Mb] increases consistently up to peak oxygen consumption in elite cyclists
Bibliographic record
Abstract
This study aimed to compare deoxygenation in the vastus lateralis in the skeletal muscle microvasculature of nine world-class/elite (WC/E) vs. thirty-one well-trained/trained (T) cyclists by near infrared spectroscopy (NIRS) during a maximal aerobic power (MAP) test. Interaction analysis showed that 1st degree polynomial trends across % peak oxygen consumption (%VO2peak) differed significantly between WC/E and T cyclists on deoxygenated hemoglobin-myoglobin (Δ[HHb]) and on total hemoglobin-myoglobin (Δ[THb]) from 70 to 100% of VO2peak. These results show that the linear slopes of these trends were different. Near-plateau of Δ[HHb] was observed in T cyclists, whereas a consistent increase up to VO2peak was seen in WC/E cyclists. The Δ[THb] curve declined in T cyclists suggesting that blood volume in the vastus lateralis microcirculation decreases from 70 to 100% of VO2peak whereas it increases slowly but continuously to 95% of VO2peak in WC/E cyclists. The results of this study showed that deoxygenation in the vastus lateralis increases consistently up to VO2peak in WC/E cyclists and seems to be influenced by blood volume in the microcirculation.
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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) | 0.001 | 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".