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Record W301901681

Investigations of dielectric properties of some frozen materials using cross-borehole radiowave pulse transmissions

2016· other· en· W301901681 on OpenAlexaff
Steven A. Arcone

Bibliographic record

VenueUS Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core) · 2016
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsStudents on Ice
FundersCold Regions Research and Engineering Laboratory
KeywordsSiltBoreholeGeologyMineralogyDielectricAlluviumGeotechnical engineeringMaterials scienceGeomorphology
DOInot available

Abstract

fetched live from OpenAlex

soils ABSTRACT (Continue on reverse if necessary and identify by block number)Pulsed radiowaves have been transmitted between boreholes at specially prepared sites in central Alaska to determine physical properties of the intervening material.The boreholes were drilled 12-25 m deep in both ice-rich silt and frozen alluvium, materials commonly found in the Alaskan interior.The pulse spectra were centered near 100 MHz and were analyzed to obtain the ground dielectric constant ' and the attenuation rate , which were then correlated with material type, water content and temperature.The ice-rich silt, which had volumetric ice contents between 47 and 70%, gave ' values between 4 and 7 and values between 2 and 4 dB/m, thus limiting the use of our commercial equipment to borehole spacings of less than 20 m.For this material, ' correlated well with volumetric ice content but not with temperature.In a deep section (25 m), dielectric contrasts were seen between ice-rich silt, massive ice and frozen gravel.In the frozen alluvium, ' values varied between 4 and 6 and values were less than 1 dB/m, thus allowing signals to be received at a borehole spacing of over 40 m.Generally, ' varied little with depth for any borehole pair.The pulses recorded at the widest spacings were due to direct transmissions and not to alternate, indirect paths that might include surface reflection or refraction.The observations thus demonstrate a method for reducing the number of boreholes commonly required for obtaining geotechnical information, and they provide data for determining borehole separation for a few common materials.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.126
GPT teacher head0.323
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.

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

Citations4
Published2016
Admission routes1
Has abstractyes

Explore more

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