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Record W3216320033 · doi:10.1017/jog.2021.115

Discovery of argon in air-hydrate crystals in a deep ice core using scanning electron microscopy and energy-dispersive X-ray spectroscopy

2021· article· en· W3216320033 on OpenAlexfundno aff
Tsutomu Uchida, Wataru Shigeyama, Ikumi Oyabu, Kumiko Goto‐Azuma, Fumio Nakazawa, Tomoyuki Homma, Kenji Kawamura, Dorthe Dahl‐Jensen

Bibliographic record

VenueJournal of Glaciology · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsnot available
FundersNatural Environment Research CouncilJapan Society for the Promotion of ScienceNational Institute of Polar ResearchNagaoka University of TechnologyCentre National de la Recherche ScientifiqueKorea Polar Research InstituteInstitut Polaire Français Paul Emile VictorNatural Resources CanadaEnvironmental Restoration and Conservation AgencyFonds Wetenschappelijk OnderzoekSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungOffice of Polar ProgramsFonds De La Recherche Scientifique - FNRSNederlandse Organisatie voor Wetenschappelijk OnderzoekAgence Nationale de la RechercheNational Science Foundation
KeywordsScanning electron microscopeGeologyArgonSpectroscopyHydrateCore (optical fiber)Ice coreMineralogyElectron microscopeAnalytical Chemistry (journal)Materials scienceOpticsChemistryAtomic physicsComposite materialPhysicsOceanographyAstronomy

Abstract

fetched live from OpenAlex

Abstract Tiny samples of ancient atmosphere in air bubbles within ice cores contain argon (Ar), which can be used to reconstruct past temperature changes. At a sufficient depth, the air bubbles are compressed by the overburden pressure under low temperature and transform into air-hydrate crystals. While the oxygen (O 2 ) and nitrogen (N 2 ) molecules have indeed been identified in the air-hydrate crystals with Raman spectroscopy, direct observational knowledge of the distribution of Ar at depth within ice sheet and its enclathration has been lacking. In this study, we applied scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS) to five air-hydrate crystals in the Greenland NEEM ice core, finding them to contain Ar and N. Given that Ar cannot be detected by Raman spectroscopy, the method commonly used for O 2 and N 2 , the SEM-EDS measurement method may become increasingly useful for measuring inert gases in deep ice cores.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.262
Teacher spread0.252 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2021
Admission routes1
Has abstractyes

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