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Record W3127493658

Rise of the Ellsworth mountains and parts of the East Antarctic coast observed with GPS

2011· article· en· W3127493658 on OpenAlexaff
Donald F. Argus, Geoffrey Blewitt, W. R. Peltier, Corné Kreemer

Bibliographic record

VenuePublication Database GFZ (GFZ German Research Centre for Geosciences) · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGeologyPeninsulaOceanographyHoloceneIce shelfEast coastAntarctic ice sheetIce sheetClimatologySea iceGeographyCryosphereArchaeology
DOInot available

Abstract

fetched live from OpenAlex

[1] Using GPS observations from 1996 to 2011, we constrain postglacial rebound in Antarctica. Sites in the Ellsworth mountains, West Antarctica, are rising at ≈5 ± 4 mm/yr (95% confidence limits), as in the postglacial rebound model of Peltier, but ≈10 mm/yr slower than in the model of Ivins and James. Therefore significant ice loss from the Ellsworth mountains ended by 4 ka, and current ice loss there is less than inferred from GRACE gravity observations in studies assuming the model of Ivins and James. Three sites along the coast of East Antarctica are rising at 3 to 4 ± 2 mm/yr, in viscous response to Holocene unloading of ice along the Queen Maud Land coast and elsewhere. Kerguelen island and seven sites along the coast of East Antarctic are part of a rigid Antarctica plate. O’Higgins, northern Antarctic peninsula, is moving southeast at 2.3 ± 0.6 mm/yr relative to the Antarctic plate. Citation: Argus, D. F., G. Blewitt, W. R. Peltier, and C. Kreemer (2011), Rise of the Ellsworthmountains and parts of the East Antarctic coast observed with GPS, Geophys. Res. Lett., 38, L16303, doi:10.1029/2011GL048025.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.081
GPT teacher head0.296
Teacher spread0.215 · 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
Published2011
Admission routes1
Has abstractyes

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