MétaCan
Menu
Back to cohort
Record W4408549139 · doi:10.1038/s43247-025-02156-w

Internal volcano-magmatic structure of Öræfajökull volcano, Iceland

2025· article· en· W4408549139 on OpenAlexaff
Braden Walsh, Ari Tryggvason, Michelle Parks, Dave McGarvie, Kristín Jónsdóttir, Vincent Drouin, Benedíkt G. Ófeigsson, E. C. P. Breard, Emmanuel Alofe

Bibliographic record

VenueCommunications Earth & Environment · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topicearthquake and tectonic studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsVolcanoGeologySeismology

Abstract

fetched live from OpenAlex

Abstract Öræfajökull, one of Iceland’s most dangerous volcanoes which last erupted in 1727 and 1362 Common Era, began to show signs of significant unrest between 2017 and 2019. This activity led to a change in the aviation color code, the establishment of evacuation routes, and increased monitoring. The unrest was characterized by pronounced seismic activity, ground swelling, and heightened geothermal phenomena, including melting of ice and increased discharge of geothermal waters. This rare event at Öræfajökull has provided an invaluable and novel opportunity to better understand the internal structure of the volcano and processes responsible for the onset of the unrest. Here, we utilize both seismic tomography and geodetic modelling to locate important volcanic-magmatic features beneath Öræfajökull. Our conceptual model posits three distinct structural zones within the volcano: a geothermally active system at shallow depths, the start of a magma domain/melt zone between ~2 and 6 kilometers depth below-sea-level, and a zone of higher-velocity intrusive rocks below ~6 kilometers below-sea-level. This study establishes a critical baseline for future periods of unrest at Öræfajökull, highlighting the potential for intermittent increased activity over decades in complex, dormant volcanoes before a significant eruption ensues.

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 score0.177
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 science0.0010.000
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 head0.012
GPT teacher head0.218
Teacher spread0.206 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueCommunications Earth & EnvironmentSame topicearthquake and tectonic studiesFrench-language works237,207