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Record W153462018

Soil and permafrost carbon and nitrogen content map of the Herschel Island based on ecological units

2013· article· en· W153462018 on OpenAlexaboutno aff
Jaroslav Obu, Hugues Lantuit, Michael Fritz, Birgit Heim, Lutz Schirrmeister, Juliane Wolter, Isla H. Myers‐Smith

Bibliographic record

VenueHelmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut) · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostThermokarstEnvironmental scienceArcticErosionCarbon fibersHydrology (agriculture)Total organic carbonEcologyOceanographyGeologyGeomorphology
DOInot available

Abstract

fetched live from OpenAlex

Carbon and nitrogen are two of basic nutrients that control primary production and organism growth in Arctic Seas. Consequently their contents control further geochemical and biological processes including potential releases of carbon dioxide and methane. Nutrients are delivered to sea by coastal erosion and river discharge. Knowing the exact amounts of carbon and nitrogen that are available for transport is crucial for further estimates of nutrient cycling and gas fluxes.
\nStudy area is Herschel Island which is situated in the northern part of Yukon Coast. Island and its coasts are highly ground ice rich and thus subjected to rapid coastal erosion and thermokarst processes. Great amounts of sediments, including carbon and nitrogen, are transported to the near-shore zone each year by coastal erosion, retrogressive thaw slump activity and fluvial action. 
\nFinal goal of research is to produce maps of soil organic carbon and nitrogen. Thirteen cores up to two meters depth were obtained from different ecological units on Herschel Island during the expedition in 2013. Samples are being analysed for CNS contents with combustion method. Carbon and nitrogen values will be averaged for the whole core column. Point data will be extrapolated to the whole island, based on the assumption that contents are homogenous within ecological units. Latter were produced from RapidEye multispectral imagery and training areas that were also collected during expedition in 2013.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.101
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.231
Teacher spread0.197 · 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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueHelmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut)Same topicClimate change and permafrostFrench-language works237,207