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Record W1995906873 · doi:10.1130/g25355a.1

Magmatic anhydrite-sulfide assemblages in the plumbing system of the Siberian Traps

2009· article· en· W1995906873 on OpenAlexaffabout
Chusi Li, Edward M. Ripley, A. J. Naldrett, Axel K. Schmitt, Craig H. Moore

Bibliographic record

VenueGeology · 2009
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGeologyAnhydriteArchaeologyGeological surveyLibrary scienceHistoryPaleontology

Abstract

fetched live from OpenAlex

Research Article| March 01, 2009 Magmatic anhydrite-sulfide assemblages in the plumbing system of the Siberian Traps Chusi Li; Chusi Li * 11Department of Geological Sciences, Indiana University, Bloomington, Indiana 47401, USA *E-mail: cli@indiana.edu. Search for other works by this author on: GSW Google Scholar Edward M. Ripley; Edward M. Ripley 11Department of Geological Sciences, Indiana University, Bloomington, Indiana 47401, USA Search for other works by this author on: GSW Google Scholar Anthony J. Naldrett; Anthony J. Naldrett 22Department of Geology, University of Toronto, Ontario M5S 3B1, Canada Search for other works by this author on: GSW Google Scholar Axel K. Schmitt; Axel K. Schmitt 33Department of Earth and Space Sciences, University of California–Los Angeles, Los Angeles, California 90095, USA Search for other works by this author on: GSW Google Scholar Craig H. Moore Craig H. Moore 11Department of Geological Sciences, Indiana University, Bloomington, Indiana 47401, USA Search for other works by this author on: GSW Google Scholar Author and Article Information Chusi Li * 11Department of Geological Sciences, Indiana University, Bloomington, Indiana 47401, USA Edward M. Ripley 11Department of Geological Sciences, Indiana University, Bloomington, Indiana 47401, USA Anthony J. Naldrett 22Department of Geology, University of Toronto, Ontario M5S 3B1, Canada Axel K. Schmitt 33Department of Earth and Space Sciences, University of California–Los Angeles, Los Angeles, California 90095, USA Craig H. Moore 11Department of Geological Sciences, Indiana University, Bloomington, Indiana 47401, USA *E-mail: cli@indiana.edu. Publisher: Geological Society of America Received: 21 Jul 2008 Revision Received: 29 Oct 2008 Accepted: 02 Nov 2008 First Online: 02 Mar 2017 Online ISSN: 1943-2682 Print ISSN: 0091-7613 © 2009 Geological Society of America Geology (2009) 37 (3): 259–262. https://doi.org/10.1130/G25355A.1 Article history Received: 21 Jul 2008 Revision Received: 29 Oct 2008 Accepted: 02 Nov 2008 First Online: 02 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Chusi Li, Edward M. Ripley, Anthony J. Naldrett, Axel K. Schmitt, Craig H. Moore; Magmatic anhydrite-sulfide assemblages in the plumbing system of the Siberian Traps. Geology 2009;; 37 (3): 259–262. doi: https://doi.org/10.1130/G25355A.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 We report the first discovery of magmatic anhydrite-sulfide assemblages in a subvolcanic intrusion associated with the Siberian Traps. The δ34S values of anhydrite and coexisting sulfide crystals analyzed by ion probe are 18‰–22‰ and 9‰–11‰, respectively. More than 50% of the total sulfur in the intrusion is estimated to derive from marine evaporites in the footwall strata. The contaminated magma was highly oxidized and able to dissolve up to one order of magnitude more sulfur than pure mantle-derived basaltic magma. Such contaminated magma, if erupted, would have released far more SO2 into the atmosphere than is generally appreciated. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.726

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)0.0010.000

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 head0.008
GPT teacher head0.183
Teacher spread0.175 · 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 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

Citations62
Published2009
Admission routes2
Has abstractyes

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