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Record W1998991599 · doi:10.1029/2011eo420002

Scientific network to decipher crustal evolution of the Arctic

2011· article· en· W1998991599 on OpenAlexaffabout
Victoria Pease, L S Lane, Jan Inge Faliede, Randell Stephenson, Bernard Coakley

Bibliographic record

VenueEos · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsGeological Survey of Canada
FundersInternational Arctic Science CommitteeDivision of Arctic SciencesConsortium of Universities for the Advancement of Hydrologic Science
KeywordsGeologyArcticEarth scienceTectonicsCrustPlate tectonicsLithosphereStructural basinPaleontologyOceanography

Abstract

fetched live from OpenAlex

The tectonic evolution of the regions in and around the Arctic remains highly debated due to a lack of geologic knowledge, the region's geologic complexities, and the logistical difficulties of working at extreme latitudes. For example, the northward continuation of Paleozoic (∼545‐to 250‐million‐year‐old) mountain belts is predicted yet unrecognized, and the tectonic development of the Canada Basin—which defines the nature of the crust in and around the Arctic—is still debated, partly because few research projects are regional in scope or link the submarine and subaerial environments. This has led some to speculate, for example, that oceanic crust underlies the entire Amerasian Basin, whereas others indicate a much more limited extent within the Canada Basin. A contributing factor in the development of such conflicting hypotheses is the traditional segregation of land‐and marine‐based researchers: Over the past several decades, Arctic campaigns have conducted marine, aerogeophysical, and geological investigations [e.g., Lawver et al. , 2010], but few of these have integrated onshore and offshore environments. To address this shortcoming, a new multinational, multidisciplinary science network called the Circum‐Arctic Lithosphere Evolution (CALE) project seeks to integrate onshore geology with offshore geophysics in the Earth's northernmost regions.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score1.000

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)0.0010.000

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 head0.036
GPT teacher head0.186
Teacher spread0.150 · 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

Citations5
Published2011
Admission routes2
Has abstractyes

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