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Record W4390463063 · doi:10.1672/ucrt083-235

Initial Surface Hydrology Characteristics of Icelandic, Drained, Patchy Wetlands

2019· article· en· W4390463063 on OpenAlexfundno aff
Elizabeth Perera

Bibliographic record

VenueWetland Science and Practice · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
FundersYork UniversitySociety of Wetland ScientistsLandbúnaðarháskóli ÍslandsAmerican-Scandinavian Foundation
KeywordsWetlandTephraGeologyEarth scienceAeolian processesVolcanoHydrology (agriculture)HistosolGranulometrySoil waterEnvironmental scienceSedimentSoil organic matterGeomorphologyGeochemistrySoil scienceEcologySoil biodiversity

Abstract

fetched live from OpenAlex

Northern wetlands with a high organic content comprise a large portion of Earth’s wetlands. Icelandic inland wetlands are mostly fens that contain varying amounts of inorganic and organic material. The distinctive geology in Iceland affects wetland soils. It is populated with several glaciers and about 30 active volcanoes, fed by a mantle plume under the island, erupting on average every 4-5 years. Aeolian and tephra distribution from these volcanoes is deposited throughout the island, creating variable soil conditions with lower organic content nearer to volcanoes and major dust sources, such as large sandar. The primary region for this study is within the lowlands in southern and western Iceland, the largest area of topogenous fens here. Combining these geographic characteristics creates three wetland soil types, as defined by the Icelandic classification system: histosols, histic andisols, and gleyic andisols.

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)0.003
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.018
GPT teacher head0.279
Teacher spread0.261 · 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
Published2019
Admission routes1
Has abstractyes

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