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Record W2004462990 · doi:10.3997/1873-0604.2011002

A comparison of airborne electromagnetic data with ground resistivity data over the Midwest deposit in the Athabasca basin

2011· article· en· W2004462990 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNear Surface Geophysics · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsUniversity of SaskatchewanLaurentian University
FundersAreva
KeywordsGeologyBasementStructural basinLithologyElectrical resistivity and conductivityUnconformityUraniumBasin and range topographyGeomorphologyDrillingGeophysicsMineralogyGeochemistryPetrologyArchaeology

Abstract

fetched live from OpenAlex

ABSTRACT The Midwest deposit in the Athabasca basin of Saskatchewan, Canada, lies 200 m below an arm of South McMahon Lake. The rocks between the lake and the deposit are sediments of the Athabasca group while the deposit is hosted by graphitic gneisses or metapelites in the basement. Geological logs of holes drilled by AREVA indicate that the Athabasca sediments are strongly altered. In the Athabasca basin, alteration in combination with conductive graphitic zones in the basement is a strong indicator of the presence of economic amounts of uranium. The purpose of the airborne surveys is to determine whether airborne methods can detect the alteration and the graphitic conductor. The airborne methods tested are broad‐band fixed‐wing time‐domain electromagnetic (FTEM) systems (TEMPEST and GEOTEM) and helicopter frequency‐domain electromagnetic (HFEM) systems (RESOLVE). All the lakes in the area, particularly the one above the deposit, are mapped as conductive near‐surface features with a high resolution HFEM system. On a resistivity section, the HFEM can delineate the bottoms of the conductive lakes quite well. The fixed‐wing FTEM sections are unable to resolve sharp changes in near‐surface resistivity; however, they clearly map the steeply dipping basement conductor and they also see another flat‐lying conductor close to the basement/basin unconformity (perhaps a conductive paleoregolith or other conductive basement lithologies). Comparison of ground and airborne resistivity maps indicates there are some similar features but also some important differences. At intermediate depths, where an alteration response is expected, the ground resistivity data indicate two relatively conductive zones, one at Midwest and smaller zones to the north, including one at the Mae zone (a smaller deposit north of Midwest). Resistivity sections derived from the airborne electromagnetic data do not always show these features clearly. The HFEM sections tend to show the lakes and possibly the alteration, while the FTEM results show the lakes, the bedrock conductor and the conjectured paleoregolith. There is a hint of the alteration at Midwest and Mae on the FTEM on‐time data but this might also be a response associated with the lakes. Modelling shows that the alteration response at Midwest is subtle and unlikely to be detected: at early time the response is dominated by the overlying lake sediments, at late time by the basement conductor. The modelling suggests that alteration could be detected at delay times less than 0.2 or 0.3 ms but only if there is no near‐surface conductive feature like overburden, lake sediments, etc.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.069
GPT teacher head0.285
Teacher spread0.215 · 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