Characterization of the Statistical Variability of Systolic and Diastolic Blood Pressure
Why this work is in the frame
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Bibliographic record
Abstract
Blood pressure is subject to significant physiological variability over time. The fluctuation of systolic and diastolic values (SBP and DBP) could lead to unrepresentative readings if not taken into consideration. This paper presents a statistical study of this variability and focuses on its main frequency components using continuous recordings of the arterial pulse waveform in healthy subjects and in ICU patients. Results show that very low frequencies between 0.025 and 0.05 Hz, low frequencies between 0.05 and 0.15 Hz, and high frequencies between 0.15 and 0.5 Hz are all important contributors to the variability. Moreover, the standard deviation of SBP and DBP values, combined with device errors, could result in readings that are associated with an unacceptable level of measurement uncertainty.
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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 | 0.000 | 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 it