Abstracts of the 2011 CSEP General Meeting / Résumés de la 2011 Congrès annuelle de la SCPE
Bibliographic record
Abstract
Circulating Cortisol (COR) and Interleukin (IL)-6 concentrations are commonly used as biomarkers of stress and metabolic changes during exercise and heat stress. Given that workplace safety guidelines are often based upon wet bulb globe temperature (WBGT) to define exposure limits for work in the heat, it is important to understand the neuroendocrine and immune responses to a given level of thermal strain with differing environmental parameters (i.e., air temperature, humidity). We examined the relationship between biomarker levels and thermal strain under differing environmental conditions of the same WBGT using whole-body calorimetry as the gold standard for measuring the rates of whole-body evaporative and dry heat loss, and thus changes in mean body temperature (ΔTb) and body heat content (ΔHb).
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.155 | 0.056 |
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".