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Record W2903297974 · doi:10.4095/296544

Multiple sulphur isotope reconnaissance of Slave Province volcanogenic massive sulphide deposits

2015· report· en· W2903297974 on OpenAlexaff
Bruce E. Taylor, Jan M. Peter, B. Wing

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicMarine and environmental studies
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsGeologySulfurGeochemistryIsotopeArchaeologyMining engineeringGeographyChemistry

Abstract

fetched live from OpenAlex

Multi-sulphur isotope (32S, 33S, 34S, and 36S) analysis of galena, sphalerite, and pyrite from 30 Archean volcanogenic massive sulphide deposits and occurrences from across the Slave Province reveals a variable contribution from Archean atmosphere-derived sulphur. Mass-independent fractionation of the sulphur isotopes produced anomalous abundances (D33S) of the sulphur isotopes that were incorporated to varying degrees in deposits that formed in different tectonic settings. Our data indicate that deposits of the bimodal-mafic type (bimodal rift setting) are characterized by a restricted range of D33S from -0.3 to 0.1 per mil, whereas deposits of the bimodal-felsic type (arc-like settings) exhibit a broader range in D33S, from -0.8 to 0.6 per mil. Mantle-derived (juvenile) sulphur is essentially the sole source of sulphur in deposits of the bimodalmafic type, whether derived directly by magmatic degassing, or indirectly by leaching of magmatic sulphides in the associated hydrothermal system; these deposits are also characterized by relatively low silver contents. Bimodal-felsic type deposits, typified by high silver contents, contain variable amounts of atmosphere- derived sulphur that was more readily available in arc-like settings.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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: none
Teacher disagreement score0.827
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0030.000

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 head0.046
GPT teacher head0.234
Teacher spread0.188 · 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.

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

Citations3
Published2015
Admission routes1
Has abstractyes

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