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Record W7071658807

Surface hydrology Characteristics of inland patchy wetlands in Southern and Western Iceland

2020· other· en· W7071658807 on OpenAlexfundno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2020
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersYork UniversitySociety of Wetland ScientistsAmerican-Scandinavian Foundation
KeywordsWetlandInfiltration (HVAC)Hydrology (agriculture)Antecedent moistureSoil waterTransectDrainageSurface waterMoisture
DOInot available

Abstract

fetched live from OpenAlex

Icelandic inland wetlands were drained after World War II for agricultural production. These wetlands provide the habitat for migratory birds and act as carbon sinks. There is little information on the local hydrology of patchy wetlands or effects from ditching. Infiltration trials, transects of near-surface soil moisture and surface albedo, and soil stratigraphy for volcanic and organic soils were collected for comparison across wetland soils in southern and western Iceland. Wet antecedent moisture conditions led to total saturation for the majority of samples. Final infiltration capacities (0.006-0.09 mm s-1) were comparable to previous infiltration rates from other Arctic studies, while tephra had limited impacts on infiltration. Soil moisture and albedo comparisons (most p-values < 0.05, 0.001) between regional drained and undisturbed locations revealed drainage has impacted the surface hydrology characteristics of disturbed wetlands, suggesting this could be the case for other drained wetlands across Iceland.

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 score0.071
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.154
Teacher spread0.146 · 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
Published2020
Admission routes1
Has abstractyes

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