Characterizing thermoregulatory demands of female wheelchair basketball players during competition
Bibliographic record
Abstract
This study aimed to assess the thermoregulatory and cardiovascular responses of WC basketball players during international competitions. Eleven female (7 spinal cord injured (SCI) and 4 Non-SCI) National team WC basketball players volunteered for the study. Testing occurred during a four-game series against the same international competitor (temp 22.1 ± 1.2°C, relative humidity (RH) 55 ± 2%). Hydration habits were monitored and heart rate, skin (SkT) and gastrointestinal (Tc), were recorded. Athletes arrived hydrated for all games (urine specific gravity, 1.014 ± 0.002). Players lost a mean of 0.5 ± 0.1% body mass due to sweat loss and replaced ~69% of fluid losses. SCI athletes played 21 ± 4 min while Non-SCI played 14 ± 6 min. SCI athletes had a mean SkT throughout the game of 35.2 ± 0.2°C and Non-SCI of 36.2 ± 0.2°C. SCI SkT rose a mean of 6.3 ± 1.1°C and Non-SCI 6.8 ± 0.9°C. SCI Tc rose a mean of 1.0 ± 0.2°C and Non-SCI a mean of 0.9 ± 0.4°C. 2/10 players reached a Tc>39°C (SCI athlete class 1, 39.4°C; Non-SCI class 4.5 athlete, 39.5°C). There were differences between players in Tc responses, due to variability in playing time. Monitoring Tc during competition is encouraged to understand competition specific responses and identify athletes at risk of heat-related fatigue.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.003 | 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 teacher head, 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".