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Record W2968423563 · doi:10.1190/segam2019-3215196.1

Advancements in 3D time-domain electromagnetic inversion in the Athabasca Basin, Canada: A unique case study from the West McArthur project

2019· article· en· W2968423563 on OpenAlexaffabout
Clinton Keller

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsCameco (Canada)
Fundersnot available
KeywordsGeologyInversion (geology)Structural basinBoreholeMineral explorationPalaeogeographyDrillingGeophysicsGeomorphologySeismologyPaleontologyTectonicsVolcanismEngineering

Abstract

fetched live from OpenAlex

Ground time-domain electromagnetic (TDEM) data were collected on the adjacent West McArthur and Read Lake uranium exploration projects, located within the Athabasca Basin in northern Saskatchewan, Canada. Three independent stepwise moving loop surveys were combined and inverted in three dimensions (3D) to produce a camp-scale conductivity model, interpreted to represent the C10 conductive corridor. Several steps were required in order to merge the datasets prior to inversion, including coordinate and data transformations, removal of spurious data points, assignment of uncertainties, and waveform optimization. The inversion results correlate well with both airborne and borehole geophysical data, as well as geological information from drilling. Inversion of TDEM data in 3D provides a valuable product to help with both interpretation and targeting of graphitic conductors when exploring for uranium mineralization in the Athabasca Basin. Presentation Date: Wednesday, September 18, 2019 Session Start Time: 8:30 AM Presentation Time: 10:10 AM Location: 301B Presentation Type: Oral

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score1.000

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 science0.0000.000
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 head0.010
GPT teacher head0.223
Teacher spread0.213 · 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.

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

Citations8
Published2019
Admission routes2
Has abstractyes

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