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Record W7018770114

Effect of Freeze-thaw Cycles on Soil Properties and Phosphorus Dynamics in Southern Ontario Agricultural Soils

2023· dissertation· en· W7018770114 on OpenAlexaffabout

Bibliographic record

VenueThe Atrium (University of Guelph) · 2023
Typedissertation
Languageen
FieldEnvironmental Science
TopicSoil and Water Nutrient Dynamics
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsSoil waterPhosphorusSurface runoffAgricultureHydrology (agriculture)AgroecosystemSoil structureNutrient
DOInot available

Abstract

fetched live from OpenAlex

Agricultural phosphorus (P) inputs to surface waters are a primary driver of surface water eutrophication. In agroecosystems that experience significant winters, P loss primarily occurs during the non-growing season (NGS). As air temperatures continue to warm, NGS hydrology is expected to change, leading to diminished snowpacks and soils being exposed to fluctuating temperatures, leading to an increase in soil freeze-thaw cycles (FTCs). This thesis aimed to investigate the effects of FTCs on soil P dynamics and transport and the soil physical properties that regulate soil P processes across three dominant agricultural soil textures in southern Ontario. The results suggest the effects of FTCs on soil properties and P processes are most notable in silt-textured soils, reducing soil aggregate stability and promoting the quantity of labile P. These changes in soil P processes did not promote dissolved reactive P (DRP) loading in subsurface discharge but may promote total P (TP) loading.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.008
GPT teacher head0.178
Teacher spread0.170 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2023
Admission routes2
Has abstractyes

Explore more

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