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Record W6907217821 · doi:10.18739/a2v698f0j

Noble Gas Concentrations and Hydrography in Milne Fiord, Canada, 2024

2025· dataset· en· W6907217821 on OpenAlexaboutno aff

Bibliographic record

VenueCalifornia Digital Library · 2025
Typedataset
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsNoble gasGlacierHydrographyStable isotope ratioArcticIsotopeFjordHeliumPermafrost

Abstract

fetched live from OpenAlex

Noble gas concentrations and helium isotope ratios from discrete water samples collected in Milne Fiord in July 2024, with associated post-processed conductivity-temperature-depth (CTD) profiles. These data were collected at four sites that spanned from the Milne Glacier grounding line to the Yelverton Basin of the Arctic Ocean. The noble gas concentrations and helium isotope ratios were acquired via mass spectrometry from the Woods Hole Oceanographic Institute Isotope Geochemistry Facility. The motivation behind data collection was to understand the collapsing ice and ocean ecosystem of Milne Fiord. This system hosts an ice configuration that supports the last remaining ice damned 'epishelf' lake of the northern hemisphere; however, it is breaking up.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.132
Threshold uncertainty score0.999

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)0.0020.000

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 head0.003
GPT teacher head0.159
Teacher spread0.156 · 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 designNot applicable
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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