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Record W7160964788 · doi:10.18739/a20c4sn0h

Ecological Survey of Soil Probe Depth, Plant Functional Type (PFT) Coverage, and Vegetation PFT Height around an Eddy Covariance Tower near Resolute, Nunavut (NU) (July 2025)

2025· dataset· en· W7160964788 on OpenAlexaboutno aff
Kelcy Kent, Danielle Trangmoe, Patrick Murphy

Bibliographic record

VenueUC Santa Barbara · 2025
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsTransectPermafrostEddy covarianceVegetation (pathology)Sampling (signal processing)ArcticHydrology (agriculture)

Abstract

fetched live from OpenAlex

An ecological survey was conducted July 23 - 28th, 2025 to characterize the landscape around an eddy covariance tower site located near Resolute Bay, NU (74.7279, -94.8985). The tower was installed in 2024 by Woodwell Climate Research Center and is now operated by Woodwell as part of the Permafrost Pathways Arctic Carbon Monitoring program. All eddy covariance tower measurements will be made available on the Ameriflux website (AMF site ID: CA-RSB). The site is described as polar desert, located on a gentle slope underlain by rocks and gravel with some sparse grasses, forbs, and mosses. Sampling plots were established every 10 - 20 meters (m) along 100 m transects extending north, east, south, and west from the tower. Surveys included soil probe depth (attempted thaw depth measurements but the landscape is underlain by rocks and gravel) and vegetation surveys of 50 centimeter (cm) x 50 cm plots to determine PFT coverage and PFT height. Photos of vegetation plots included.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.881
Threshold uncertainty score0.237

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.014

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 head0.038
GPT teacher head0.284
Teacher spread0.246 · 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
GenreDataset

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
Published2025
Admission routes1
Has abstractyes

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