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Record W2020211928 · doi:10.1130/g22140.1

Isotopic evidence for microbial activity during supergene oxidation of a high-sulfidation epithermal Au-Ag deposit

2006· article· en· W2020211928 on OpenAlexafffundabout
Amelia Rainbow, T. Kurtis Kyser, Alan H. Clark

Bibliographic record

VenueGeology · 2006
Typearticle
Languageen
FieldEngineering
TopicMetal Extraction and Bioleaching
Canadian institutionsQueen's University
FundersOntario Innovation Trust
KeywordsGeologySupergene (geology)Queen (butterfly)CitationGeological surveyLibrary scienceArchaeologyGeochemistryMining engineeringPaleontologyHistory

Abstract

fetched live from OpenAlex

Research Article| April 01, 2006 Isotopic evidence for microbial activity during supergene oxidation of a high-sulfidation epithermal Au-Ag deposit Amelia Rainbow; Amelia Rainbow 1Department of Geological Sciences and Geological Engineering, Queen's University, Kingston, Ontario K7L 3N6, Canada Search for other works by this author on: GSW Google Scholar T. Kurtis Kyser; T. Kurtis Kyser 1Department of Geological Sciences and Geological Engineering, Queen's University, Kingston, Ontario K7L 3N6, Canada Search for other works by this author on: GSW Google Scholar Alan H. Clark Alan H. Clark 1Department of Geological Sciences and Geological Engineering, Queen's University, Kingston, Ontario K7L 3N6, Canada Search for other works by this author on: GSW Google Scholar Author and Article Information Amelia Rainbow 1Department of Geological Sciences and Geological Engineering, Queen's University, Kingston, Ontario K7L 3N6, Canada T. Kurtis Kyser 1Department of Geological Sciences and Geological Engineering, Queen's University, Kingston, Ontario K7L 3N6, Canada Alan H. Clark 1Department of Geological Sciences and Geological Engineering, Queen's University, Kingston, Ontario K7L 3N6, Canada Publisher: Geological Society of America Received: 17 Aug 2005 Revision Received: 24 Nov 2005 Accepted: 11 Dec 2005 First Online: 09 Mar 2017 Online ISSN: 1943-2682 Print ISSN: 0091-7613 Geological Society of America Geology (2006) 34 (4): 269–272. https://doi.org/10.1130/G22140.1 Article history Received: 17 Aug 2005 Revision Received: 24 Nov 2005 Accepted: 11 Dec 2005 First Online: 09 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Amelia Rainbow, T. Kurtis Kyser, Alan H. Clark; Isotopic evidence for microbial activity during supergene oxidation of a high-sulfidation epithermal Au-Ag deposit. Geology 2006;; 34 (4): 269–272. doi: https://doi.org/10.1130/G22140.1 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyGeology Search Advanced Search Abstract The light stable isotope chemistry of barite and acanthite in the Pierina Au-Ag deposit, Peru, provides strong support for microbial involvement at the economically critical supergene oxidation stage. Early hypogene barite yields δ34S values of 23.6‰ to 28.5‰ and δ18O values of 5.8‰ to 10.9‰, and was precipitated with the original precious metal-enriched sulfide assemblage. In contrast, late barite, deposited during formation of supergene goethite and hematite, the main ore-hosts, yields δ34S and δ18O values of 1.4‰ to 14.2‰ and −2.8‰ to 4.7‰, correlated mutually and with the δ34S values of coprecipitated acanthite (δ34S = 0.4‰ to 3.9‰). Low δ34S values of barite and acanthite record sulfide mineral oxidation by meteoric waters. Increasing δ34S and δ18O values of barite and δ34S values of acanthite indicate enrichment of the sulfate reservoir in 34S and 18O, reflecting the preferential utilization of light isotopes by microbes during aqueous sulfate reduction. Continued sulfate reduction locally reduced supergene fluids, remobilizing iron and locally destroying the goethite-hematite assemblage. Precious metals were released but reacted with sulfide in the reduced waters to form Au-rich acanthite. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

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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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score0.327

Codex and Gemma teacher scores by category

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

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 head0.016
GPT teacher head0.234
Teacher spread0.219 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations17
Published2006
Admission routes3
Has abstractyes

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