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Record W2321898460 · doi:10.1061/9780784413272.271

Thermo-TDR Probe for Measurement of Soil Moisture, Density, and Thermal Properties

2014· article· en· W2321898460 on OpenAlexaboutno aff
Xinbao Yu, Asheesh Pradhan, Nan Zhang, Bharat Thapa, Saibun Tjuatja

Bibliographic record

VenueGeo-Congress 2014 Technical Papers · 2014
Typearticle
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsGeothermal gradientThermal conductivityWater contentMoistureThermalSoil scienceEnvironmental scienceGeothermal energyBulk densitySoil waterMaterials scienceSoil thermal propertiesCharacterization (materials science)Geotechnical engineeringRemote sensingGeologyComposite materialMeteorologyHydraulic conductivityGeophysics

Abstract

fetched live from OpenAlex

Geothermal energy, particularly shallow geothermal energy, has become increasingly popular in the geotechnical engineering community. Design of optimized and efficient geothermal systems requires better understanding of soil thermal behavior, which relies on accurate characterization of soil thermal conductivity, along with moisture and density. In this study a thermo-TDR probe was designed and evaluated against a standard heat probe for thermal property measurement. In addition, the probe also enables the simultaneous measurement of moisture and density, along with thermal conductivity. This unique feature makes it possible to obtain high-quality data for geothermal-related studies. Ottawa sand and kaolin clay soils at different moisture conditions were tested using the developed thermo-TDR probe. The obtained data show the thermo-TDR probe can measure moisture content and density and thermal properties with reasonable accuracy.

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: Empirical
Teacher disagreement score0.553
Threshold uncertainty score0.699

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 head0.019
GPT teacher head0.216
Teacher spread0.197 · 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

Citations15
Published2014
Admission routes1
Has abstractyes

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