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Record W1990112837 · doi:10.2343/geochemj.1.0033

Estimate of mole sulfate ratios in magmatic rocks

2009· article· en· W1990112837 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGEOCHEMICAL JOURNAL · 2009
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGroundwater and Isotope Geochemistry
Canadian institutionsUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSulfateIgneous rockGeologySulfurSulfideGeochemistryFractionationδ34SSulfide mineralsIsotopes of sulfurIsotopeMole fractionIsotope fractionationMineralogyMineralChemistryPyriteFluid inclusionsQuartz

Abstract

fetched live from OpenAlex

This study presents a numerical method to estimate the mole fractions of sulfate species in magmatic rocks using sulfur isotopes, which can be illustrated in a δ-δ diagram. The mole sulfate ratio in an igneous rock sample can be calculated from the δ34Srock value of the whole-rock sample and the δ34Ssulfide (or δ34Ssulfate) value of a sulfide and (or) a sulfate mineral (species) in the sample on the basis of S-isotope fractionation and mass balance under the conditions of magmatic equilibrium. This method can be used to test if magmatic equilibrium between sulfate and sulfide species in magmatic rocks is retained, and to predict the δ34S value of one of them at a certain temperature if sulfur isotopic equilibrium is maintained. The initial sulfur isotope composition of the system in question may be estimated based on a set of samples from an igneous suite. Mole sulfate ratio in the magmatic rocks is then used to estimate redox conditions under which they are formed. This practice is important in understanding the genesis of mineral deposits associated with magmatic rocks.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.999

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 head0.006
GPT teacher head0.216
Teacher spread0.210 · 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