Metabolic and performance‐related consequences of exercising at and slightly above <scp>MLSS</scp>
Bibliographic record
Abstract
Exercising at the maximal lactate steady state ( MLSS ) results in increased but stable metabolic responses. We tested the hypothesis that even a slight increase above MLSS (10 W), by altering the metabolic steady state, would reduce exercise performance capacity. Eleven trained men in our study performed: one ramp‐incremental tests; two to four 30‐minute constant‐load cycling exercise trials to determine the PO at MLSS ( MLSS p ), and ten watts above MLSS ( MLSS p+10 ), which were immediately followed by a time‐to‐exhaustion test; and a time‐to‐exhaustion test with no‐prior exercise. Pulmonary O 2 uptake V.O 2 ) and blood lactate concentration ([La − ] b ) as well as local muscle O 2 extraction ([ HH b]) and muscle activity ( EMG ) of the vastus lateralis ( VL ) and rectus femoris ( RF ) muscles were measured during the testing sessions. When exercising at MLSS p+10 , although V.O 2 was stable, there was an increase in ventilatory responses and EMG activity, along with a non‐stable [La − ] b response ( P < 0.05). The [ HH b] of VL muscle achieved its apex at MLSS p with no additional increase above this intensity, whereas the [ HH b] of RF progressively increased during MLSS p+10 and achieved its apex during the time‐to‐exhaustion trials. Time‐to‐exhaustion performance was decreased after exercising at MLSS p (37.3 ± 16.4%) compared to the no‐prior exercise condition, and further decreased after exercising at MLSS p+10 (64.6 ± 6.3%) ( P < 0.05). In summary, exercising for 30 min slightly above MLSS led to significant alterations of metabolic responses which disproportionately compromised subsequent exercise performance. Furthermore, the [ HH b] signal of VL seemed to achieve a “ceiling” at the intensity of exercise associated with MLSS .
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".