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Record W2552699393 · doi:10.2113/econgeo.111.8.2087

Geophysical Signature of the NICO Au-Co-Bi-Cu Deposit and Its Iron Oxide-Alkali Alteration System, Northwest Territories, Canada

2016· article· en· W2552699393 on OpenAlexafffundabout
N Hayward, Louise Corriveau, James A. Craven, Randolph J. Enkin

Bibliographic record

VenueEconomic Geology · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsGeological Survey of Canada
FundersNatural Resources CanadaAurora Research Institute
KeywordsAlkali metalGeologyGeochemistrySignature (topology)GeophysicsMineralogyChemistry

Abstract

fetched live from OpenAlex

Models of the three-dimensional physical property variation of the NICO Au-Co-Bi-Cu deposit, Northwest Territories, and the Southern Breccia albitite-hosted uranium occurrences and their iron oxide-alkali alteration envelopes, were derived from inversion of high-resolution aeromagnetic, gravity, and magnetotelluric (MT) data at deposit to regional scales. In turn, integration of the geophysical results with physical property measurements and geologic observations leads to a new understanding of the geometry of the deposit, adjacent mineralized and altered zones, and potential cogenetic links within the host metasomatic system. NICO, which is a variant of the magnetite group iron oxide copper-gold (IOCG) class of deposit, is spatially associated with a discrete zone of lower electrical resistivity occurring within a broader, NE-dipping zone of higher density. The high-density zone overlaps a NE-dipping zone of higher magnetic susceptibility and is truncated to the southwest by a NW-striking geophysical discontinuity interpreted as a major fault zone. This inferred fault divides the magnetite-altered metasedimentary rocks hosting the NICO deposit from the albite-altered rocks within the Southern Breccia corridor to the southwest that host the uranium mineralization. Having been active during development of the metasomatic system, this fault influenced the formation of these distinct but complementary deposit types.

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 score0.050
Threshold uncertainty score0.308

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)0.0000.000

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 head0.005
GPT teacher head0.181
Teacher spread0.176 · 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

Citations24
Published2016
Admission routes3
Has abstractyes

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