Are heart rate deflection point and peak velocity determined in the Université of Montréal Track Test valid to approximate aerobic parameters measured in the laboratory?
Bibliographic record
Abstract
BACKGROUND: The aim of this study was to compare the respiratory compensation point (RCP) and maximal aerobic velocity (vVO2max) measured in the laboratory, respectively, with the heart rate deflection point (HRDP) and the peak velocity (PV) determined in the Université of Montréal Track Test (UMTT). Beside, we investigated the relationship of these parameters with endurance performance. METHODS: Eighteen long distance runners randomly performed (in different days) two incremental exercise tests (laboratory and UMTT). RCP and vVO2max were identified in a treadmill test. The HRDP was identified using the Dmax method, while the PV was identified as the velocity of the last complete stage (PVc) and the time-corrected velocity of the last incomplete stage (PVi). Endurance performance was the reported 10-km race time from the closest race to the test visits. RESULTS: RCP heart rate (176±14 bpm) was not significantly different from HRDP (173±10 bpm). The agreement was reasonable [bias: 4 bpm (95% limit of agreement: -16 to 24 bpm)]. vVO2max (18.0±2.1 km.h-1) was not significantly different from PVi (17.6±2.1 km.h-1), but was significantly higher than PVc (17.3±2.0 km.h-1). The agreement between vVO2max and PVi was acceptable [0.4 km.h-1 (-1.6 to 2.4 km.h-1)]. Endurance performance correlations (2212±277 s) with HRDP velocity (r=-0.75) and PVi (r=-0.83) tended to be lower than with RCP velocity (r=-0.91) and vVO2max (r=-0.85). CONCLUSIONS: It is possible to estimate with reasonable accuracy the vVO2max using the UMTT. However, care must be taken to use the HRDP identified through the UMTT to prescribe training intensities.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".