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Record W2331073245 · doi:10.1130/g32335.1

Subglacial carbonates constrain basal conditions and oxygen isotopic composition of the Laurentide Ice Sheet over Arctic Canada

2011· article· en· W2331073245 on OpenAlexafffundabout
Kurt A. Refsnider, Gifford H. Miller, Claude Hillaire‐Marcel, Marilyn L. Fogel, Bassam Ghaleb, R. Bowden

Bibliographic record

VenueGeology · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversité du Québec à Montréal
FundersNatural Sciences and Engineering Research Council of CanadaNational Science Foundation
KeywordsMillerCitationArcticGeologyArt historyIce sheetOceanographyLibrary scienceHistoryPaleontologyComputer science

Abstract

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Research Article| February 01, 2012 Subglacial carbonates constrain basal conditions and oxygen isotopic composition of the Laurentide Ice Sheet over Arctic Canada Kurt A. Refsnider; Kurt A. Refsnider 1Institute of Arctic and Alpine Research (INSTAAR) and the Department of Geological Sciences, University of Colorado, Boulder, Colorado 80309, USA Search for other works by this author on: GSW Google Scholar Gifford H. Miller; Gifford H. Miller 1Institute of Arctic and Alpine Research (INSTAAR) and the Department of Geological Sciences, University of Colorado, Boulder, Colorado 80309, USA Search for other works by this author on: GSW Google Scholar Claude Hillaire-Marcel; Claude Hillaire-Marcel 2Centre GEOTOP, Université du Québec à Montréal, Montréal, Québec H3C 3P8, Canada Search for other works by this author on: GSW Google Scholar Marilyn L. Fogel; Marilyn L. Fogel 3Geophysical Laboratory, Carnegie Institute, Washington, D.C. 20015, USA Search for other works by this author on: GSW Google Scholar Bassam Ghaleb; Bassam Ghaleb 2Centre GEOTOP, Université du Québec à Montréal, Montréal, Québec H3C 3P8, Canada Search for other works by this author on: GSW Google Scholar Roxane Bowden Roxane Bowden 3Geophysical Laboratory, Carnegie Institute, Washington, D.C. 20015, USA Search for other works by this author on: GSW Google Scholar Geology (2012) 40 (2): 135–138. https://doi.org/10.1130/G32335.1 Article history received: 08 Apr 2011 rev-recd: 13 Sep 2011 accepted: 15 Sep 2011 first online: 09 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Kurt A. Refsnider, Gifford H. Miller, Claude Hillaire-Marcel, Marilyn L. Fogel, Bassam Ghaleb, Roxane Bowden; Subglacial carbonates constrain basal conditions and oxygen isotopic composition of the Laurentide Ice Sheet over Arctic Canada. Geology 2012;; 40 (2): 135–138. doi: https://doi.org/10.1130/G32335.1 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyGeology Search Advanced Search Abstract Subglacially precipitated carbonate crusts (SPCCs) formed on bedrock and till boulder surfaces adjacent to the Barnes Ice Cap (BIC), central Baffin Island, Arctic Canada, act as unique archives of Laurentide Ice Sheet basal conditions. Uranium-series dating of these features reveals that carbonate precipitation from subglacial meltwater occurred during the Last Glacial Maximum (LGM), requiring warm-based ice in the region at that time. However, the preservation of fragile SPCCs is unlikely beneath erosive warm-based ice, suggesting that the transition to subsequent cold-based conditions took place shortly after the LGM, and glacial erosion in the region occurred dominantly prior to the LGM. The oxygen isotopic composition of the meltwater from which the SPCCs precipitated is indistinguishable from that of the debris-rich BIC basal ice (δ18O –24‰ referenced to Vienna standard mean ocean water), but distinct from that of the overlying white Pleistocene ice (δ18O ∼–35‰), demonstrating that SPCCs are reliable archives of the isotopic composition of only the basal ice of past ice sheets. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

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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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.642
Threshold uncertainty score0.997

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.013
GPT teacher head0.205
Teacher spread0.192 · 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

Citations21
Published2011
Admission routes3
Has abstractyes

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