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Evaluation of Measurement System of Basal Body Temperature by Wearable Sensor and its Application to Long-term Management

2024· article· en· W4392900707 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTransactions of Japan Society of Kansei Engineering · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Perception and Purchasing Behavior
Canadian institutionsPQ Corporation (Canada)
Fundersnot available
KeywordsBasal body temperatureWearable computerMenstrual cycleHuman body temperatureAbdomenMedicineSurgeryComputer sciencePhysiologyInternal medicineEmbedded system

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.795
Threshold uncertainty score0.542

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.243
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it