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Record W4386725068 · doi:10.1016/j.ancene.2023.100402

Future projections of wind energy potentials in the arctic for the 21st century under the RCP8.5 scenario from regional climate models (Arctic-CORDEX)

2023· article· en· W4386725068 on OpenAlexaffabout
Mirseid Akperov, А. В. Елисеев, Annette Rinke, И. И. Мохов, В. А. Семенов, M. A. Dembitskaya, Heidrun Matthes, Muralidhar Adakudlu, Fredrik Boberg, Jens Hesselbjerg Christensen, Klaus Dethloff, Xavier Fettweis, Oliver Gutjahr, Günther Heinemann, Torben Koenigk, Dmitry Sein, René Laprise, Ruth Mottram, Oumarou Nikiéma, Stefan Sobolowski, Katja Winger, Wenxin Zhang

Bibliographic record

VenueAnthropocene · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsUniversité du Québec à Montréal
FundersShirshov Institute of Oceanology, Russian Academy of SciencesRussian Science FoundationMinistry of Education and Science of the Russian FederationLunds UniversitetMinistry of Science and Higher Education of the Russian FederationSwedish National Space AgencyRussian Foundation for Fundamental Investigations
KeywordsEnvironmental scienceArcticWind speedWind powerClimatologyClimate changeClimate modelAtmospheric sciencesMeteorologyGeographyGeologyOceanographyEcology

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.215

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.026
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 designSimulation or modeling
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

Citations7
Published2023
Admission routes2
Has abstractyes

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