EFFECT OF HUMAN PREGANCY ON PHASE II VENTILATORY AND GAS EXCHANGE KINETICS DURING MODERATE EXERCISE
Bibliographic record
Abstract
PURPOSE: To examine the hypothesis that O2 uptake (VO2) kinetics would be slowed in late pregnancy in response to a step increase in work rate. METHODS: The responses of eight healthy, physically active pregnant women (PG; gestational age 36.1 ± 0.4 wk) were compared to those of six nonpregnant women (CG) with similar characteristics. Subjects performed four repeats, on seperate days, of 8 min square-wave exercise bouts from loadless pedaling (4 min) to a work rate corresponding to 80% of their ventilatory threshold (Tvent). Time aligned and averaged responses for minute ventilation (VE), VO2 and CO2 output (VCO2) were fit using a monoexponential model from 20s post-work rate to either 3 min (ie. VO2) or 6 min exercise (ie. VCO2 and VE). CONCLUSION: The slower τVE in the PG was related to the greater gain in this group. It was postulated that the slowed τVO2 in late gestation was due to a reduced O2 availability resulting from a reduced hemoglobin concentration, a leftward shift in the O2-hemoglobin dissociation curve, a blunted sympathoadrenal response to exercise and shunting of blood to the fetoplacental unit. Supported by the U.S. Army Medical Research and Materiel Command Contract #DAMD17–96–C–6112, the Ontario Thoracic Society, Ontario Thoracic Society (Block-term Grant Funding), and Natural Sciences and Engineering Research Council of Canada (N.S.E.R.C.).
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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) | 0.000 | 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) | 0.002 | 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".