Evaluation of the Portable HealthWear Armband
Bibliographic record
Abstract
Lifestyle modifications involving diet and exercise are effective in reducing the incidence of type 2 diabetes (1–3). In particular, lifestyle changes targeted toward increasing daily energy expenditure are a cornerstone treatment of type 2 diabetes (2). In the Diabetes Prevention Research Group study (4), a goal of 150 min/week of physical activity was recommended, and 74% of the patients in this study group achieved this level by 24 weeks. This type of success in exercise modification is made possible in research protocols by intensive individual counseling (5), which may not be easily reproduced in primary care settings. Because of the critical importance of increasing daily energy expenditure and its central role in preventing and/or treating diabetes, one can surmise that instrumentation providing accurate and simple feedback to type 2 patients may have clinical utility. Therefore, we provide preliminary data on the accuracy of the HealthWear Armband (Roche Diagnostics, Indianapolis, IN), an instrument designed …
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".