Effects of Cold Exposure on Anaerobic Power of Children.
Bibliographic record
Abstract
低温暴露が小児の無酸素性パワーに与える影響について,ウインゲート無酸素性テスト(WAnT)を用いて検討した.被験者は9～13歳の健常男子12名であった.低温暴露には人工気象室を使用し,常温環境(23℃,相対湿度40%)と低温環境(5℃,相対湿度40%)で30分間の安静の後,それぞれWAnTを2分間の休憩をはさんで2回施行した.両温度環境の1回目のWAnTにおけるmean powerの比較では,有意差が認められなかった.各々の温度環境において2回目のWAnTのmean powerを1回目のWAnTのmean powerで除して算出した回復率の比較では,低温環境において回復率が有意に低下していた.以上より低温暴露は小児の無酸素性パワーに影響を与えないが,回復を遅延させると考えられた.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".