Evaluation of Measurement System of Basal Body Temperature by Wearable Sensor and its Application to Long-term Management
Bibliographic record
Abstract
In this study, wearable devices and web systems that can be worn on the abdomen (underneath clothing) during sleep were developed and applied for menstrual cycle management through the continuous measurement and collection of body surface temperatures. The average body temperature was calculated using data collected from 7,543 normal menstrual cycles with a duration of 25-38 days, over a period of approximately 200,000 days. In all cases, the average value of body surface temperature was lower than the average value of oral temperature; however, the differences between the body surface and oral temperatures of the two menstrual cycle phases were 0.40°C and 0.32°C, respectively. As a result, all age groups showed similar duration of the high-temperature phase, that was 12-13 days. Thus, this study demonstrated that menstrual cycles could be monitored via measurements using a wearable device attached to the abdomen.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".