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Record W4405656501 · doi:10.1016/j.jenvrad.2024.107574

Exploratory study of erosion in cultivated organic soils using cesium-137 measurements

2024· article· en· W4405656501 on OpenAlexafffundabout
Alexis Gloutney, Claude Bernard, Jacynthe Dessureault‐Rompré

Bibliographic record

VenueJournal of Environmental Radioactivity · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicRadioactive contamination and transfer
Canadian institutionsUniversité LavalMinistère de l'Agriculture, des Pêcheries et de l'AlimentationInstitut de Recherche et de Développement en AgroenvironnementUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaMinistère de l'Agriculture, des Pêcheries et de l'Alimentation
KeywordsSoil waterCaesiumEnvironmental scienceErosionEnvironmental chemistrySoil scienceMineralogyHydrology (agriculture)GeologyChemistryGeomorphology

Abstract

fetched live from OpenAlex

Concerns about the sustainability of cultivated organic soils in Montérégie (Quebec, Canada), which can also be identified as histosols, led to this exploratory study aimed at quantifying erosion in these soils by using cesium-137 ( 137 Cs) measurements. Soil samples were taken from organic soils in twenty-two fields, and their 137 Cs contents were measured by gamma spectrometry. The estimated mean annual erosion rates (±SD), adjusted with cropping history, ranged from 0.4 ± 6.3 to 14.6 ± 10.7 t/ha. The results obtained are lower than expected, based on information provided by the agricultural producers from whose farms the samples were taken, as well as two studies conducted in the same study area that highlight the importance of cultivated organic soil height loss due to wind erosion. Recommendations are formulated to obtain more precise erosion rates in future research. This study also points out aspects that deserve to be investigated to adapt existing conversion models for erosion assessment using 137 Cs measurements in cultivated organic soils. • Exploratory study of erosion in drained and cultivated organic soils using 137 Cs. • Estimated annual erosion rates, adjusted with cropping history, of 0.4–14.6 t/ha. • Advice for planification of sampling in future study of erosion for these soils. • Need to adapt conversion models for their use in cultivated organic soils.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.636
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.262
Teacher spread0.225 · 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 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
Published2024
Admission routes3
Has abstractyes

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