Prediction of Maximal Aerobic Power From the 20-m Multi-stage Shuttle Run Test
Bibliographic record
Abstract
The purpose of this study was to test the accuracy of the 20-m multi-stage shuttle run (SR) test to predict VO2max in young adults. VO2max was measured during a graded treadmill test in 60 men and 62 women (mean age 25.3 and 25.1 years, respectively). Each subject was familiarized with the SR procedure and the completed the SR test to predict VO2max on a separate day. The mean terminal SR stage was 9.5 for men and 7.8 for women. The regression equations of Léger et al. (1988) and Léger and Gadoury (1989) systematically underpredicted VO2max for both males and females (p < 0.05). New regression equations were developed from present data to predict VO2max for males: Y = 2.75X + 28.8 (r2 = 0.77, SEE = 4.07 ml.kg-1.min-1); and for females: Y = 2.85X + 25.1 (r2 = 0.66, SEE = 3.64 ml.kg-1.min-1), where X equals the last half-stage of the SR completed. We suggest that these gender-distinct equations provide more accurate predictions of VO2max from the SR.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
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".