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Record W4411888179 · doi:10.5670/oceanog.2025.315

Scientific Research and Marine Protected Area Monitoring Using a Deep-Sea Observatory: The Endeavour Hydrothermal Vents

2025· article· en· W4411888179 on OpenAlex
S. F. Mihaly, Fabio De Leo, Ella Minicola, Lanfranco Muzi, M. Heesemann, Kate Moran, Jesse Hutchinson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueOceanography · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsOcean Networks Canada Society
FundersGovernment of Canada
KeywordsHydrothermal ventOceanographyObservatoryHydrothermal circulationGeologyDeep seaEnvironmental sciencePaleontology

Abstract

fetched live from OpenAlex

Designating marine protected areas (MPAs) is an increasingly utilized policy instrument for preserving marine ecosystems and biological diversity while also allowing for sustainable use. However, designation is only the first step and cannot be successful without monitoring mechanisms to drive an effective and adaptive management plan. This article discusses the use of the NEPTUNE real-time seafloor observatory—originally designed to understand the complex interdisciplinary nature of the Endeavour mid-ocean ridge spreading center—as a tool to inform MPA management. We describe the ways in which geophysical and geological forces control biological habitat and water column biogeochemistry, and highlight research enabled by the observatory that increased our understanding of Endeavour’s hydrothermal vent ecology and these dynamic processes. Endeavour is naturally undergoing change, so an understanding of the multidisciplinary mechanisms and factors controlling its environment provides key management information.

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.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.015
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.075
GPT teacher head0.306
Teacher spread0.230 · 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