MétaCan
Menu
← Back to cohort
Record W2385163634

Geochemical Characteristics of the Nairn Copper Polymetallic Deposit,Sudbury,Canada and Their Significance

2012· article· en· W2385163634 on OpenAlexaboutno aff
Jia Runxing, Hancheng Zhang, Zhang Wenshan, Gao Junhui

Bibliographic record

VenueGeology and Exploration · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyGeochemistryBrecciaMineralization (soil science)MaficHydrothermal circulationCopperFractionationQuartzFractional crystallization (geology)BasaltChemistry
DOInot available

Abstract

fetched live from OpenAlex

The Nairn working area is located about 50km to the southwest of the Sudbury Cu-Ni ore concentration area in Canada.The mineralization in this area is dominated by copper-nickel mineralization within gabbros and copper mineralization within quartz breccias.Both of them have the similar geochemical characteristics of high content of Th,Zr,Hf and relatively lower content of Nb,Ta and other HFSE,high content of Rb-U-Pb and relatively lower content of Ba,P,Ti and other LILE.The REE exhibits right-dipping chondrite normalized patterns with unobvious Ce anomalies,negative Eu anomalies and with obvious fractionation of LREE and indistinct fractionation of HREE.These features imply that they originate from the similar source related to the magma activity and their crystal fractionation.The copper-nickel mineralization within gabbros is mainly related to mafic magma,and the copper mineralization within quartz breccias is mainly related to magmatic hydrothermal fluids.Copper-nickel sulfides formed from high temperature magma after crystallization of silicate minerals in gabbros in the early stage,and the magmatic hydrothermal fluids formed in the later stage and shifted along fault fracture zones and filled in structural fissures.Based on the metallogenic features in the Nairn working area,the contacts between gabbro dyke and quartzites,especially the places where structures developed well or faults intersect,are considered to be the most favorable mineralization loci.

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 score0.015
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.168
Teacher spread0.157 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueGeology and Exploration→Same topicGeological and Geochemical Analysis→French-language works237,207→