MétaCan
Menu
Back to cohort
Record W2805104611 · doi:10.4095/292869

A magnetotelluric survey and preliminary geophysical inversion and visualization of the NICO IOCG deposit, Northwest Territories

2013· report· en· W2805104611 on OpenAlexaffabout
J A Craven, Brian J. Roberts, N Hayward, Mihai Stefănescu, Louise Corriveau

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsIron oxide copper gold ore depositsMagnetotelluricsGeologyGeophysicsPlate tectonicsInversion (geology)SeismologyTectonicsEngineeringElectrical resistivity and conductivityElectrical engineering

Abstract

fetched live from OpenAlex

To improve our understanding of the NICO deposit and Iron Oxide-Copper-Gold (IOCG) deposits in general we conducted both a regional-scale (10's km) and mine-scale (a few km) magnetotelluric (MT) study at the NICO deposit in the summer of 2010. An MT study involves the measurement, along a profile or on a grid, of variations in the natural magnetic field and correlated changes in voltages in the ground due to so-called "telluric" currents. The data collected enable a view of the electrical resistivity structure from the surface to the depth of the mantle. The survey itself is relatively easy to conduct, requiring a crew of only 2 or 3 persons due to the simplicity of installing the receiver equipment and the fact that no artificial or man-made energy source needs to be installed. The purpose of the MT survey is twofold. The first is to test the IOCG exploration model proposed by Corriveau et al (2010). The Corriveau et al alteration vector-to-mineralisation model enables effective exploration in a geologically complex region by providing a framework to understand the spatial and temporal relationships amongst the alteration products associated with the mineralization event (Corriveau et al., 2010). The model can be treated as a scientific hypothesis and tested. For example, Potter et al. (2013) have successfully tested the validity of the model to vector towards ore at the Fab lake showing. A fundamental result of Potter et al. (2012) is their demonstration that the model provides sufficient detail and tools that can be used by others to explore for ore. In this paper we test the spatial associations predicted by the model using geophysical methods due to the unique geophysical signatures alteration products in the model suggests. For example, sulphides should be conductive, but not magnetic. Magnetite should be magnetic, but not conductive. The second purpose of the MT work is more regional in nature. Regional MT studies (Heinson et al, 2006) and isotope studies at the Olympic Dam deposit (Johnson and McCulloch, 1995) have suggested a mantle source for mineralizing fluids. Seismic surveys (Drummond et al., 2006) support this notion by suggesting that deep faults or conduits beneath Olympic Dam permit mantle fluids access to the uppermost portions of the lithosphere. In addition, at Olympic Dam, the lithospheric architecture includes tapering out of an Archean lithospheric root, the extremity of which is directly under Olympic Dam (cf. Drummond et al., 2006; Cook et al., 1998; Snyder, 2008; Spratt et al., 2009). Whether similar roots and deep-seated conduits exist beneath the NICO deposit, and if there is evidence for large-scale fluid movement along them are key questions a regional MT survey can address.

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 score0.788
Threshold uncertainty score0.422

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 studies0.0000.000
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 head0.019
GPT teacher head0.245
Teacher spread0.226 · 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
Published2013
Admission routes2
Has abstractyes

Explore more

Same topicGeophysical and Geoelectrical MethodsFrench-language works237,207