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Record W7058250539

The Mineralogy of Hydrothermal Plume Particles at the Endeavour Mid-Ocean Ridge

2023· other· en· W7058250539 on OpenAlexaboutno aff

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2023
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsHydrothermal circulationHydrothermal ventRidgeSeafloor spreadingPlumeMid-ocean ridgeMineralBiogeochemical cycleDissolution
DOInot available

Abstract

fetched live from OpenAlex

Hydrothermal vents (aka black smokers) exist along mid-ocean ridges where volcanoes continuously create ocean crust. These have recently been recognized as an important source of biologically important elements, such as Fe, to seawater. However, most dissolved constituents of hydrothermal plumes are precipitated into minerals near vents and these settle to the seafloor forming sediments. This study examines the mineralogy and geochemistry of those sediment-hosted particles to better understand the hydrothermal contribution of elements to biogeochemical cycles in the ocean. A sediment core taken near the hydrothermal vents at the Endeavour ridge segment of the Juan de Fuca ridge (300 km west of Vancouver Island) was used to examine post depositional changes in the mineralogy and chemistry of plume particles in this sediment. A six-step dissolution was applied to extract carbonates, biogenic silicates, Fe- and Mn-oxyhydroxides and Fe-oxide phases with the major and trace element compositions of each extraction analysed by ICP-MS. This data is being used to test the hypothesis that labile poorly crystalline Fe-oxyhydroxides redissolve over 100-1000’s of years, providing a mechanism by which Fe is releasing into the water column from the seafloor. This may provide a hitherto unrecognized source of biologically available Fe to the ocean.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.018
GPT teacher head0.254
Teacher spread0.236 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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