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Record W2145526158 · doi:10.1109/tim.2007.894882

Transient Humidity Measurements: Part II—Determination of the Characteristics of an Interactive Device

2007· article· en· W2145526158 on OpenAlexaff
Yiheng Wang, Carey J. Simonson, Robert W. Besant, Wei Shang

Bibliographic record

VenueIEEE Transactions on Instrumentation and Measurement · 2007
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsTransient (computer programming)HumidityMoistureTransmitterIsothermal processDesiccantMaterials scienceTransient responseTemperature measurementEnvironmental scienceMechanicsThermodynamicsElectrical engineeringComputer scienceComposite materialEngineeringPhysics

Abstract

fetched live from OpenAlex

In this paper, a humidity/temperature transmitter is used to determine the transient response characteristics of a passive interactive moisture transfer device (i.e., a desiccant coated energy wheel) following a step change in humidity and temperature. The output of the transmitter, which is placed downstream of the energy wheel, follows exponential functions with two time constants and includes the combined effects of the device and transmitter. The response of the unknown device needs to be deconvoluted from the measured data to determine the transient characteristics of the device alone. The results in this paper show that the transient moisture characteristics of the interactive device are strongly influenced by the temperature testing conditions. Isothermal test conditions are recommended when determining the moisture characteristics of devices that have a combined heat and moisture transfer interaction

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.565
Threshold uncertainty score0.534

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 head0.055
GPT teacher head0.272
Teacher spread0.217 · 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 designBench or experimental
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".

Quick stats

Citations12
Published2007
Admission routes1
Has abstractyes

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