Interest of an Individualized Score among Children Using the OMNI Cycle Scale
Bibliographic record
Abstract
PURPOSE: The study purposes were 1) to study the differences between perceived exertion measured by a generic (/10) or an individualized (/max value obtained during the test) score on the OMNI cycle scale (OMNImax and OMNI10) and the actual effort (peak oxygen consumption) at different stages of a maximal cycling test in a group of children age 8 to 10 yr old and 2) to assess whether the concordance between perceived exertion and actual effort differs according to body mass status or physical activity level. METHODS: A total of 477 children from the QUebec Adipose and Lifestyle InvesTigation in Youth (QUALITY) cohort performed a progressive maximal test on a cycling ergometer. Oxygen consumption was continuously measured during the test. Perceived exertion was measured at the end of each stage, at exhaustion, and during recovery using the OMNI cycle scale. Percentage of peak oxygen consumption was compared with %OMNI10 and %OMNImax; two-way ANOVA was conducted to detect the differences between the physiologic and subjective indicators of exercise intensity according to body mass status and physical activity levels of children. RESULTS: At each stage of the test, except during recovery, children perceived their effort to be lower than the actual intensity level. This lower scoring of exercise intensity is more important when using OMNI10 than OMNImax. No differences in body mass status or physical activity level were observed. CONCLUSION: It is better to consider the OMNI score relative to the maximal score obtained (OMNImax) from the children to reflect the actual physiological effort (oxygen consumption). The association between the effort performed and the OMNI cycle scale score is independent of body mass status and physical activity level of the child.
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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 | 0.003 |
| 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 | 0.000 |
| 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".