Reference ranges of biochemical blood parameters in juvenile athletes
Bibliographic record
Abstract
Reference ranges of blood parameters adapted for young athletes are necessary for proper assessment and timely detection of deviations in the state of health. Purpose. A comparative analysis of the reference ranges of some biochemical blood parameters calculated on a sample of thousands of athletes under 18 years old, members of Russian national teams, versus similar indices of children not engaged in sports obtained in the framework of projects carried out in Canada and in Scandinavian countries. Results. Differences in the width of reference ranges, their minimum and maximum values between the compared groups for several indicators of protein and lipid metabolism, cortisol and testosterone aredescribed. The authors discuss the expediency of further development of reference ranges of blood parameters, which consider sex, age of athletes, and specifics of sports. Conclusion. The specified data on reference ranges of blood indices are necessary for clearer differentiation and objective evaluation of adaptational transformations arising against the background of physical loads, as well astimely detection of pathological deviations in the functional state of juvenile athletes’ organism and prognosis of their further development.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".