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Record W4411136494 · doi:10.1016/j.epsl.2025.119485

Tectonically induced changes in vent fluid compositions and metal concentrations at Main Endeavour Field, northeast Pacific Ocean

2025· article· en· W4411136494 on OpenAlexaboutno aff
Guy N. Evans, Zoe Krauss, Marvin D. Lilley, William E. Seyfried, William S. D. Wilcock

Bibliographic record

VenueEarth and Planetary Science Letters · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topicearthquake and tectonic studies
Canadian institutionsnot available
FundersNational Defense Science and Engineering GraduateNational Science Foundation
KeywordsGeologyOceanographyPacific oceanField (mathematics)

Abstract

fetched live from OpenAlex

Seafloor hydrothermal vents are dynamic systems that respond to changes in magmatic heat fluxes, crustal permeability and connectivity, and mineral precipitation. However, the logistical challenges associated with marine science operations often preclude direct observation of these dynamics. Here, we utilize infrastructure of Ocean Network Canada’s NEPTUNE cabled observatory to compare time-series vent fluid samples with contemporaneous records of vent fluid temperature and ocean bottom seismicity at the Main Endeavour Field, northeast Pacific Ocean. We find that previously reported changes in vent fluid chemistry coincide with episodes of increased earthquake activity. Ratios of Mg to other fluid mobile elements are consistent with influx of a Mg- and sulfate-depleted fluid, which we attribute to active circulation of intermediate-temperature hydrothermal fluids within shallow seabed lavas. Concentrations of chalcophile transition metals and metalloids are strongly correlated and sensitive to vent fluid temperature, which we propose indicates differential precipitation/dissolution of sulfide minerals. Episodes of heightened microearthquake activity associated with changes in vent fluid chemistry and/or temperature are characterized by swarm-like bursts of relatively small magnitude, likely shallow-origin, earthquakes. Together, these data highlight the sensitivity of vent fluid temperature and chemistry to seismic activity that alters near-surface permeability and connectivity between seawater and various hydrothermal reservoirs.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.239
Threshold uncertainty score0.474

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.010
GPT teacher head0.203
Teacher spread0.193 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

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