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Record W2495908441 · doi:10.21411/cbm.a.29224e04

Benthic community structure on two peaks of an erupting seamount: Northwest Rota-1 Volcano, Mariana Arc, western Pacific

2006· article· en· W2495908441 on OpenAlexaff
Helene Limén, S. Kim Juniper, Verena Tunnicliffe, Michel Clément

Bibliographic record

VenueStation Biologique de Roscoff · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsSeamountVolcanoBenthic zoneOceanographyGeologyMeiobenthosOrganic matterEcosystemPyroclastic rockSubmarine volcanoFood webEcologyEnvironmental sciencePaleontologyBiology

Abstract

fetched live from OpenAlex

This study examined structural features of a vent ecosystem subject to perturbation by repeated underwater eruptive activity on NW Rota-1 Volcano in the Mariana Arc. Results provide insight into how chronic disturbance regimes shape vent ecosystems. A photosynthetically-based, deep-sea sessile community found on an inactive peak of NW Rota-1 was completely absent from the volcanically and hydrothermally active peak, even away from the areas of venting. A slightly more complex community and food web occurred where fluids were venting through cemented lavas (versus volcaniclastic sand), underlining the importance of substratum stability to the vent fauna. Meiofauna abundance and sediment organic matter content were much lower at these vents, compared to the nearby inactive peak, pointing to the importance of organic matter accumulation for the establishment of meiofaunal communities on the volcanic substratum. Evidence for food partitioning and multiple organic matter sources indicates that these latter are fundamental features of even chronically disturbed vent communities.

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 score0.029
Threshold uncertainty score0.057

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.016
GPT teacher head0.269
Teacher spread0.253 · 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

Citations16
Published2006
Admission routes1
Has abstractyes

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