MétaCan
Menu
← Back to cohort
Record W2223889734

Halogen geochemistry of footwall breccia and associated units of the main mass of the Sudbury Igneous Complex, Ontario

2011· article· en· W2223889734 on OpenAlexfundaboutno aff
Robert Craig Stewart

Bibliographic record

VenueSaint Mary's University Institutional Repository (Saint Mary's University) · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
FundersGovernment of Canada
KeywordsBrecciaIgneous rockGeochemistryGeologyHalogenChemistry
DOInot available

Abstract

fetched live from OpenAlex

The potential for the halogen elements (F, Cl, Br, I) to be used as geochemical indicators for contact-style Ni-Cu-PGE mineralization along the lower contact of the Sudbury Igneous Complex (SIC) has been investigated. Specifically, halogen anomalies present within and around footwall breccia "plumes" as well as surrounding lithologies have been examined to determine how bulk and soluble halogens are related to mineralization. Two environments (one barren of mineralization, and the other hosting significant sulphide ore deposits) containing these structures were compared. There are no significant differences in bulk major and trace element geochemistry of rocks between these environments; however there were differences in halogen geochemistry. Two dominant fluid sources were recognized as having contributed to the water-soluble halogen budget of the samples: a high Cl[superscript -]/Br[superscript -] fluid phase of probably magmatic origin, originating from the SIC, and a low Cl[superscript -]/Br[superscript -] fluid phase derived from fluid release during dehydration of hydrous minerals in footwall rocks or from infiltration of saline groundwaters.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.070
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.016
GPT teacher head0.144
Teacher spread0.128 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueSaint Mary's University Institutional Repository (Saint Mary's University)→Same topicGeological and Geochemical Analysis→French-language works237,207→