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Record W2234489713 · doi:10.1002/2015gc006010

New insights into the mineralogy of the <scp>A</scp>tlantis II <scp>D</scp>eep metalliferous sediments, <scp>R</scp>ed <scp>S</scp>ea

2015· article· en· W2234489713 on OpenAlexafffund
Tea E. Laurila, Mark D. Hannington, Matthew I. Leybourne, Sven Petersen, Colin W. Devey, Dieter Garbe‐Schönberg

Bibliographic record

VenueGeochemistry Geophysics Geosystems · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeochemistry and Elemental Analysis
Canadian institutionsLaurentian UniversityUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaSociety of Economic Geologists Canada Foundation
KeywordsGeologyDiagenesisAuthigenicMineralogyHydrothermal circulationGeochemistryPetrographyDeposition (geology)Clastic rockCarbonateSedimentary rockSedimentChemistryGeomorphology

Abstract

fetched live from OpenAlex

Abstract The Atlantis II Deep of the Red Sea hosts the largest known hydrothermal ore deposit on the ocean floor and the only modern analog of brine pool‐type metal deposition. The deposit consists mainly of chemical‐clastic sediments with input from basin‐scale hydrothermal and detrital sources. A characteristic feature is the millimeter‐scale layering of the sediments, which bears a strong resemblance to banded iron formation (BIF). Quantitative assessment of the mineralogy based on relogging of archived cores, detailed petrography, and sequential leaching experiments shows that Fe‐(oxy)hydroxides, hydrothermal carbonates, sulfides, and authigenic clays are the main “ore” minerals. Mn‐oxides were mainly deposited when the brine pool was more oxidized than it is today, but detailed logging shows that Fe‐deposition and Mn‐deposition also alternated at the scale of individual laminae, reflecting short‐term fluctuations in the Lower Brine. Previous studies underestimated the importance of nonsulfide metal‐bearing components, which formed by metal adsorption onto poorly crystalline Si‐Fe‐OOH particles. During diagenesis, the crystallinity of all phases increased, and the fine layering of the sediment was enhanced. Within a few meters of burial (corresponding to a few thousand years of deposition), biogenic (Ca)‐carbonate was dissolved, manganosiderite formed, and metals originally in poorly crystalline phases or in pore water were incorporated into diagenetic sulfides, clays, and Fe‐oxides. Permeable layers with abundant radiolarian tests were the focus for late‐stage hydrothermal alteration and replacement, including deposition of amorphous silica and enrichment in elements such as Ba and Au.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.195
Teacher spread0.185 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations29
Published2015
Admission routes2
Has abstractyes

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