Determinants of core temperature thresholds for exercise ventilation (1104.23)
Bibliographic record
Abstract
Correlation and multiple regression analysis were employed to assess for human physical and physiological predictors of esophageal temperature (T ES ) thresholds for pulmonary ventilation during exercise (V E ). It was hypothesized these T ES thresholds would be positively associated to peak oxygen consumption (VO 2PEAK ) and thermolytic responses as well as negatively associated to the chemosensitivity of breathing. The SFU Office of Research Ethics approved the study. Twenty‐three volunteers participated 2 studies. They were 27.8±7.9 years of age (mean ± SD), 71.9±7.2 kg in weight and 1.76±0.06 m in height. They had a Body Surface Area (BSA) of 1.87±0.1 m 2 and a Body Mass Index (BMI) of 23.4±2.4 kg/m 2 . Twenty‐three volunteers performed incremental cycle ergometer exercise from rest to the point of exhaustion. A second group of 9 volunteers performed a hyperoxic‐hypercapnic, modified Read rebreathing test during normothermia and hyperthermia. For correlation and multiple regression analyses the dependent outcome variables were T ES thresholds for ventilatory equivalents for oxygen (V E /VO 2 ) and carbon dioxide (V E /VCO 2 ). For the same analyses the independent variables included age, weight, height, BSA, BMI, VO 2PEAK , the ventilatory recruitment threshold and slope from Read rebreathing plots and T ES thresholds for onsets of eccrine sweating (E SW ) and cutaneous blood velocity (CBV). Results indicated significant positive correlations between T ES thresholds for V E /VO 2 and V E /VCO 2 with VO 2PEAK (both r=0.42, p<0.05) and each of the T ES thresholds for the onset of E SW and CBV (0.72<r<0.78, p<0.01). Multiple regression analysis gave the T ES threshold for E SW as the single significant predictor of T ES thresholds for V E /VO 2 and V E /VCO 2 (both R=0.72, p<0.05). In conclusion, T ES thresholds for exercise ventilation were positively associated to VO 2PEAK and prediction of these ventilation thresholds were made with T ES thresholds for eccrine sweating. Grant Funding Source : Supported by NSERC and CFI
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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) | 0.000 | 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".