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Accuracy And Precision Of A Gastrointestinal Core Temperature Telemetry System

2023· article· en· W4387054820 on OpenAlexaff
Thomas W. Service, Katerina Junker, Cory Coehoorn, Marisa Harrington, Lynneth Stuart-Hill

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2023
Typearticle
Languageen
FieldEngineering
TopicCalibration and Measurement Techniques
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsThermometerLimits of agreementIntraclass correlationReliability (semiconductor)ReproducibilityStatisticsMean differenceCapsuleNuclear medicineMedicineMaterials scienceAnalytical Chemistry (journal)MathematicsPhysicsChemistryConfidence intervalChromatographyBiologyThermodynamics

Abstract

fetched live from OpenAlex

When accurate and precise, gastrointestinal (GI) core temperature (Tc) capsules provide an excellent option for researchers and industry to monitor thermal stress. The accuracy and precision of GI thermometry have seen marked improvements, but still often possess non-zero biases and assured accuracies exceeding ±0.1C of other thermometry methods. This is despite GI capsule thermometry having a resolution of 0.01 °C resulting in an excellent potential for high accuracy and precision in temperature estimates. PURPOSE: The purpose of this study was to assess the validity and reliability of a new Tc capsule. METHODS: 15 GI Tc capsules were tested at each 1 °C from 33 °C-43 °C in a circulating water bath in a TEST/RETEST format. Capsule temperatures were compared to a reference thermometer accurate to ±0.01 °C. The Bland-Altman method of analysis was used to assess bias. A one-way ANOVA was performed to assess for temperature-dependent bias. Intraclass correlation coefficient (ICC) for intermeasure agreement, and the difference in bias between TEST/RETEST, were used to determine capsule reliability. Bias estimates were reported as mean ± 95% limit of agreement (LOA). RESULTS: Capsule bias was quite small at -0.02 °C ± 0.09 °C (p < .001) for each of OVERALL, TEST, and RETEST conditions with no outliers (difference vs reference thermometer > ± 0.20 °C). OVERALL bias was not uniform across temperature plateaus (F = 36.825, p < .001); differences ranged in magnitude from 0.00 °C - 0.07 °C with no indication °C ± 0.047 °C (p < .001) was observed in the difference between TEST and RETEST bias. However, the difference in bias was not homogenous across temperature plateaus, with differences in 22 of 55 post hoc comparisons. ICC estimates for TEST and RETEST were 1.00 (95% confidence interval: 1.00, 1.00). CONCLUSION: The capsules within this system offer a very low systematic bias and excellent reliability in estimating temperature. Despite a low bias, the system's 99.9% LOA of °C exceeds the ±0.1 °C accuracy assurance attained using other thermometry methods following calibration. Therefore, while capsules are delivered pre-calibrated by the manufacturer, we recommend end users independently calibrate their capsules using several temperatures prior to use in order to harness the high accuracy and precision potential of GI thermometry.

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.

How this classification was reachedexpand

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.348
Threshold uncertainty score0.344

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.273
Teacher spread0.252 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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