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Record W2014569576 · doi:10.4141/s05-062

Collecting large soil monoliths

2006· article· en· W2014569576 on OpenAlexafffundvenue
Suzanne A Allaire, Éric van Bochove

Bibliographic record

VenueCanadian Journal of Soil Science · 2006
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCasingEnvironmental scienceSampling (signal processing)Soil testExtraction (chemistry)Soil scienceSoil waterGeologyPetroleum engineeringEngineeringChemistryChromatography

Abstract

fetched live from OpenAlex

Large soil monoliths (> 50 kg) are required to study and monitor soil energy and water budget, gas and liquid fluxes, and contaminant transport. This paper reviews the types of studies requiring large soil monoliths, design and material for the casing, and collection methods for vertically forced cylindrical and for block (orthorhombic) monoliths. Methods of extraction are described along with recommendations. Advantages and disadvantages of each method are discussed. Vertically pushed cylindrical monoliths are easier to sample, but compared with orthorhombic monoliths that are not pushed into the soil, the pushing process has the disadvantage of modifying certain soil physical properties. Key words: Large soil samples, intact soil cores, acrylic boxes, soil sampling

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.192
Teacher spread0.184 · 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 designSimulation or modeling
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

Citations27
Published2006
Admission routes3
Has abstractyes

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