WISE-2005: developing a non-invasive method to monitor cardiovascular deconditioning.
Bibliographic record
Abstract
We have determined the gain of the cardiopulmonary baroreflex (CPBR) by measuring the central venous pressure (CVP) by venous catheter and calculating the total peripheral resistance (TPR) from mean arterial pressure (MAP) by Finometer and cardiac output (QD) by Doppler ultrasound. We tested the hypothesis that the BeatScope software of the Finometer, which calculates cardiac stroke volume (SVF) and cardiac output (QF) from the arterial pulse wave, could provide data with which to estimate CVP and TPR. The estimate of QF was linearly related to QD with a correction factor. Further, we found linear relationships between CVP and SVF that allowed us to establish a prediction of CVP from the SVF as the new input to the CPBR. To test the ability of this method to monitor changes in CPBR we are testing the subjects of the WISE-2005 study before and after 50-days of bed rest. We conclude that the TPR can be assessed with the Finometer and without any invasive method to record the CVP.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".