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Record W6950206338 · doi:10.5683/sp2/rm1frk

Carbon Dioxide Exchange at the Cape Bounty Arctic Watershed Observatory (CBAWO), Melville Island, NU (2014)

2019· dataset· en· W6950206338 on OpenAlexaff

Bibliographic record

VenueBorealis · 2019
Typedataset
Languageen
Field
Topic
Canadian institutionsQueen's University
Fundersnot available
KeywordsObservatoryArcticWatershedCapeSoil waterCarbon dioxide

Abstract

fetched live from OpenAlex

To better understand CO2 exchange in wet sedge soils at the Cape Bounty Arctic Watershed Observatory (CBAWO), Melville Island, NU – data was collected using Automated Soil CO2 Exchange (ACE) Stations. Three pairs - transparent and opaque - of ACE Stations were used to measure CO2 exchange at Cape Bounty Arctic Watershed Observatory (CBAWO) across three different soil conditions. This allowed for possible factors controlling CO2 exchange of wet sedge sites to be interpreted. These stations were run from June 15, 2014 till July 30, 2014. The ACE stations were set to sample for three-minutes (18 ten-second intervals) every 30-minutes. Furthermore, photosynthetically active radiation (PAR) and net CO2 exchange rate (NCER) were also collected. Collection of this data has allowed for exploration of the different temporal variabilities in CO2 exchange at these wet sedge areas at a range of scales. Use of this data helped support the conclusion of CO2 storage in wet sedge meadows.

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)0.002
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 score0.838
Threshold uncertainty score0.322

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.008

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 head0.026
GPT teacher head0.247
Teacher spread0.221 · 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
Published2019
Admission routes1
Has abstractyes

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