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Record W6922090874 · doi:10.1139/cjss10033

Impact of tension infiltrometer disc size on measured soil water repellency index

2011· article· en· W6922090874 on OpenAlexaboutno aff

Bibliographic record

VenueBioOne Complete (BioOne) · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicFire effects on ecosystems
Canadian institutionsnot available
Fundersnot available
KeywordsInfiltrometerSoil waterInfiltration (HVAC)Tension (geology)Context (archaeology)Water pressureClay soil

Abstract

fetched live from OpenAlex

Hunter, A. E., Chau, H. W. and Si, B. C. 2011. Impact of tension infiltrometer disc size on measured soil water repellency index. Can. J. Soil Sci. 91: 77-81. Accurate measurement of soil water repellency (or hydrophobicity) is important for assessing the hydraulic properties of soils. Water repellency index (RI), a measure of soil water repellency, can be determined using the tension infiltrometer. Little is known about the effects of different infiltrometer disc sizes on measured RI. Furthermore, the impact of method selection in the context of site assessment is unknown. The objective of this study was to determine if the infiltrometer disc size affects the measured RI. Studies were conducted on seven sandy and one clay site in Western Canada in 2008 and 2009. Mini (disc 4.5 cm in diameter) and standard (disc 20 cm in diameter) tension infiltrometers were used to determine RI. There was strong spatial variability in RI values at all sites. Higher RI and greater variance were associated with the smaller disc size due to the smaller zone of influence. Water repellency index values obtained from the mini and standard tension infiltrometers were not statistically different in most cases. We conclude that the mini infiltrometer is an appropriate method for site assessment of RI. The mini infiltrometer RI values were compared with those from the standard infiltrometer, resulting in a 44% accuracy rate with a type I error in 33% of the cases and a type II error in 22% of the cases.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.796
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.003

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 head0.196
GPT teacher head0.229
Teacher spread0.034 · 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; both teacher heads agree on what is shown here.

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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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