Lactate Steady State During 20km Simulated Cycle Racing
Bibliographic record
Abstract
The purposes of this study were to determine if experienced cyclists self-select lactate steady state (LSS) during a simulated 20km time trial (TT) and if the attainment of LSS was associated with consistent pacing. Twelve experienced cyclists performed the TT on a computerized trainer system. Compared to values at 7.5km, lactate was significantly lower at 17.5km, and PO was reduced at 15 and 17.5km. Variability in lactate and variability in power output, as measured by intrasubject standard deviation, were highly correlated (r = 0.75, p <0.01) from 5km onward. Only 2 of 12 subjects met the previously published criteria for LSS (< 1.0mmol·L−1 change during exercise), and these subjects had the lowest variability in power output. Self-selection of a consistent pace was associated with the attainment of LSS; however, the majority of experienced cyclists did not self-select lactate steady state during a 20km simulated cycle race.
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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".