PO-32 DIETARY CALCIUM INTAKE AND CARDIOVASCULAR HEALTH: IS THERE ANY RELATIONSHIP?
Bibliographic record
Abstract
arteries.Following an initial recording, the cuffs were switched and a second series of continuous waveforms were acquired.Phonocardiograms were continuously acquired to determine timing of aortic valve closure.All PWA variables were averaged across the standard-and switched-cuff configurations to minimize the impact that slight variations in cuffs may impart on recordings.Extracted PWA variables include (1) brachial form factors (bFF), (2) heartbrachial transit time (hb-TT), and (3) brachial augmentation index (bAIx).Results: Paired t-test revealed no statistically significant differences in left and right pulse waveform features (P>0.05 for BFF, hb-TT, bAIx).Bland-Altman analysis revealed no significant bias in extracted waveform features between each arm (mean bias [limits of agreement]Z0.3[-3.2, 2.7]%, -2.65[-1571.1,1041.1]msec, 0.3 [-1.15, 1.21]% for bFF, hb-TT, and bAIx, respectively).Conclusion: No significant systematic differences exist between left and right pulse waveforms.Despite minor differences in arterial pathways between left and right brachial arteries, we found agreement in PWA variables between both arms.The side of measurement did not influence pulse waveform analysis results in this clinical sample.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".